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  1. Article: COVID-SegNet: encoder-decoder-based architecture for COVID-19 lesion segmentation in chest X-ray.

    Agrawal, Tarun / Choudhary, Prakash

    Multimedia systems

    2023  , Page(s) 1–14

    Abstract: The coronavirus disease 2019, initially named 2019-nCOV (COVID-19) has been declared a global pandemic by the World Health Organization in March 2020. Because of the growing number of COVID patients, the world's health infrastructure has collapsed, and ... ...

    Abstract The coronavirus disease 2019, initially named 2019-nCOV (COVID-19) has been declared a global pandemic by the World Health Organization in March 2020. Because of the growing number of COVID patients, the world's health infrastructure has collapsed, and computer-aided diagnosis has become a necessity. Most of the models proposed for the COVID-19 detection in chest X-rays do image-level analysis. These models do not identify the infected region in the images for an accurate and precise diagnosis. The lesion segmentation will help the medical experts to identify the infected region in the lungs. Therefore, in this paper, a UNet-based encoder-decoder architecture is proposed for the COVID-19 lesion segmentation in chest X-rays. To improve performance, the proposed model employs an attention mechanism and a convolution-based atrous spatial pyramid pooling module. The proposed model obtained 0.8325 and 0.7132 values of the dice similarity coefficient and jaccard index, respectively, and outperformed the state-of-the-art UNet model. An ablation study has been performed to highlight the contribution of the attention mechanism and small dilation rates in the atrous spatial pyramid pooling module.
    Language English
    Publishing date 2023-04-19
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1463005-9
    ISSN 1432-1882 ; 0942-4962
    ISSN (online) 1432-1882
    ISSN 0942-4962
    DOI 10.1007/s00530-023-01096-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Segmentation and classification on chest radiography: a systematic survey.

    Agrawal, Tarun / Choudhary, Prakash

    The Visual computer

    2022  Volume 39, Issue 3, Page(s) 875–913

    Abstract: Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders. A trained radiologist is required for interpreting the radiographs. But sometimes, even experienced radiologists can misinterpret the findings. This leads to the need ...

    Abstract Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders. A trained radiologist is required for interpreting the radiographs. But sometimes, even experienced radiologists can misinterpret the findings. This leads to the need for computer-aided detection diagnosis. For decades, researchers were automatically detecting pulmonary disorders using the traditional computer vision (CV) methods. Now the availability of large annotated datasets and computing hardware has made it possible for deep learning to dominate the area. It is now the modus operandi for feature extraction, segmentation, detection, and classification tasks in medical imaging analysis. This paper focuses on the research conducted using chest X-rays for the lung segmentation and detection/classification of pulmonary disorders on publicly available datasets. The studies performed using the Generative Adversarial Network (GAN) models for segmentation and classification on chest X-rays are also included in this study. GAN has gained the interest of the CV community as it can help with medical data scarcity. In this study, we have also included the research conducted before the popularity of deep learning models to have a clear picture of the field. Many surveys have been published, but none of them is dedicated to chest X-rays. This study will help the readers to know about the existing techniques, approaches, and their significance.
    Language English
    Publishing date 2022-01-08
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1463287-1
    ISSN 1432-2315 ; 0178-2789
    ISSN (online) 1432-2315
    ISSN 0178-2789
    DOI 10.1007/s00371-021-02352-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images.

    Agrawal, Tarun / Choudhary, Prakash

    Evolving systems

    2021  Volume 13, Issue 4, Page(s) 519–533

    Abstract: COVID-19 is an acronym for coronavirus disease 2019. Initially, it was called 2019-nCoV, and later International Committee on Taxonomy of Viruses (ICTV) termed it SARS-CoV-2. On 30th January 2020, the World Health Organization (WHO) declared it a ... ...

    Abstract COVID-19 is an acronym for coronavirus disease 2019. Initially, it was called 2019-nCoV, and later International Committee on Taxonomy of Viruses (ICTV) termed it SARS-CoV-2. On 30th January 2020, the World Health Organization (WHO) declared it a pandemic. With an increasing number of COVID-19 cases, the available medical infrastructure is essential to detect the suspected cases. Medical imaging techniques such as Computed Tomography (CT), chest radiography can play an important role in the early screening and detection of COVID-19 cases. It is important to identify and separate the cases to stop the further spread of the virus. Artificial Intelligence can play an important role in COVID-19 detection and decreases the workload on collapsing medical infrastructure. In this paper, a deep convolutional neural network-based architecture is proposed for the COVID-19 detection using chest radiographs. The dataset used to train and test the model is available on different public repositories. Despite having the high accuracy of the model, the decision on COVID-19 should be made in consultation with the trained medical clinician.
    Language English
    Publishing date 2021-05-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2561630-4
    ISSN 1868-6486 ; 1868-6478
    ISSN (online) 1868-6486
    ISSN 1868-6478
    DOI 10.1007/s12530-021-09385-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Creating a circular EV battery value chain: End-of-life strategies and future perspective

    Nurdiawati, Anissa / Agrawal, Tarun Kumar

    Resources, conservation, and recycling. 2022 June 20,

    2022  

    Abstract: The rapid uptake of electric vehicles (EVs) will be vital to decarbonise the transport sector and achieve climate change targets. However, this transition is leading to an increased demand for key battery materials and associated resource challenges and ... ...

    Abstract The rapid uptake of electric vehicles (EVs) will be vital to decarbonise the transport sector and achieve climate change targets. However, this transition is leading to an increased demand for key battery materials and associated resource challenges and supply-chain risks. On the other hand, discarded EV batteries create business opportunities for second life and recycling. This study presents scenario-driven material flow analysis (MFA) to estimate the future volume of EV battery wastes to be potentially generated in Sweden and future demand for key battery materials, considering potential EV fleet, battery chemistry developments, and end-of-life strategies of EV batteries. Further, we combine MFA with a socio-technical approach to explore how different socio-technical developments will affect both EV battery flows and the underlying systems in the future. Recycling has the potential to reduce primary demand by 25–64% during 2040–2050 based on projected demand, meaning that waste streams could cover a considerable part of the future raw material demands. Second-use of EV batteries can promote circularity yet postpones recycling potentials. From a transition perspective, promoting recycling, second-life use of EV batteries and advanced battery technologies entail system disruption and transformational changes in technology, markets, business models, policy, and infrastructure and user practices. Demand for high-capacity batteries for grid decarbonisation and aviation applications may contribute to the emergence of niche battery technologies. Each scenario highlights the need for effective policy frameworks to foster a circular EV battery value chain.
    Keywords aviation ; batteries ; chemistry ; climate change ; infrastructure ; issues and policy ; material flow analysis ; raw materials ; supply chain ; Sweden
    Language English
    Dates of publication 2022-0620
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 1498716-8
    ISSN 0921-3449
    ISSN 0921-3449
    DOI 10.1016/j.resconrec.2022.106484
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: A comprehensive diffusion-induced stress coupled multiscale modeling and analysis in hard-carbon electrodes of Li-ion batteries.

    Kumar, P Pavan / Agrawal, Asutosh / Nayak, Debasis / Biswas, Koushik / Ghosh, Sudipto / Kundu, Tarun Kumar

    Physical chemistry chemical physics : PCCP

    2023  Volume 25, Issue 30, Page(s) 20462–20472

    Abstract: Particle fracture due to diffusion-induced stress (DIS) in electrodes is a key factor for lithium-ion battery (LIB) failure. Among many ways to minimize DIS, optimization of particle size and C-rates using state of charge (SOC) dependent varying ... ...

    Abstract Particle fracture due to diffusion-induced stress (DIS) in electrodes is a key factor for lithium-ion battery (LIB) failure. Among many ways to minimize DIS, optimization of particle size and C-rates using state of charge (SOC) dependent varying properties can be a noble approach. Herein, a comprehensive multiscale modeling approach has been proposed to optimize the particle size by studying the DIS in hard carbon (HC) particles as the potential anode materials for high-energy LIBs. To accomplish this, density functional theory (DFT) was used to calculate the SOC dependent coefficient of volume expansion (CVE). Similarly, SOC dependent diffusivity and elastic modulus are calculated
    Language English
    Publishing date 2023-08-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp01967e
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A Rare Association of Patent Ductus Arteriosus (PDA) With Persistent Left Superior Vena Cava (PLSVC) and Unroofed Coronary Sinus (UCS) Terminating Into Left Atrium (LA): A Case Report of an Indian Infant.

    Sahai, Isha / Ghosh, Benumadhab / Agrawal, Gajendra / Christopher, Johann / Rao, Tarun

    Cureus

    2022  Volume 14, Issue 10, Page(s) e30124

    Abstract: Unroofed coronary sinus syndrome (UCSS), also named coronary sinus (CS) septal defect, is a rare type of atrial septal defect (ASD) with the incidence less than 1% of the total number of ASDs. It is caused by incomplete formation of left atrial venous ... ...

    Abstract Unroofed coronary sinus syndrome (UCSS), also named coronary sinus (CS) septal defect, is a rare type of atrial septal defect (ASD) with the incidence less than 1% of the total number of ASDs. It is caused by incomplete formation of left atrial venous folds during embryonic development. There is communication between the CS and left atrium (LA) due to the presence of a left superior vena cava (LSVC) along with an incomplete or complete loss of the CS roof draining into the LA. It usually presents as mild breathlessness on exertion and the appearance of murmurs on auscultation. A case that is diagnosed as an unroofed CS (UCS) related to a continuous LSVC terminating into the CS, which further terminates into LA, along with a large patent ductus arteriosus (PDA) is a rare presentation.
    Language English
    Publishing date 2022-10-10
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.30124
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Traceability in Textile and Clothing Supply Chains

    Tarun Kumar Agrawal / Rudrajeet Pal

    Sustainability, Vol 11, Iss 6, p

    Classifying Implementation Factors and Information Sets via Delphi Study

    2019  Volume 1698

    Abstract: The purpose of this study is twofold. First, to explore and classify factors influencing traceability implementation, and second, to cluster essential traceability-related information that demands recording and sharing with businesses and customers, in ... ...

    Abstract The purpose of this study is twofold. First, to explore and classify factors influencing traceability implementation, and second, to cluster essential traceability-related information that demands recording and sharing with businesses and customers, in the context of the textile and clothing supply chain. A Delphi study is conducted with 23 experts (including research practitioners and industry experts) to explore, validate, and classify traceability factors and related information using distribution analyses and hierarchal clustering. As a result, 14 factors and 19 information sets are identified and classified with a moderately high agreement among the experts. Among these, risk management, product authentication, and visibility are the highest ranked and the most important factors influencing traceability implementation in the textile and clothing supply chain. While origin, composition, and sustainability-related information are crucial for sharing with customers, the information vital to businesses includes manufacturer/supplier details, product specifications, and composition. It is noteworthy that this research is among the few that classifies traceability factors and information through expert perspectives, and it creates decisive knowledge of traceability for the textile and clothing supply chain. It further provides insights on the extent to which this information can be shared among supply chain actors. Outcomes of this study can be helpful for the development of an information traceability framework. Policymakers can use the results to draft traceability guidelines/regulations, whilst top management can develop traceability-related strategies.
    Keywords traceability ; Delphi study ; supply chain ; textile and clothing ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 306
    Language English
    Publishing date 2019-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Traceability in Textile and Clothing Supply Chains: Classifying Implementation Factors and Information Sets via Delphi Study

    Agrawal, Tarun Kumar / Pal, Rudrajeet

    Sustainability. 2019 Mar. 21, v. 11, no. 6

    2019  

    Abstract: The purpose of this study is twofold. First, to explore and classify factors influencing traceability implementation, and second, to cluster essential traceability-related information that demands recording and sharing with businesses and customers, in ... ...

    Abstract The purpose of this study is twofold. First, to explore and classify factors influencing traceability implementation, and second, to cluster essential traceability-related information that demands recording and sharing with businesses and customers, in the context of the textile and clothing supply chain. A Delphi study is conducted with 23 experts (including research practitioners and industry experts) to explore, validate, and classify traceability factors and related information using distribution analyses and hierarchal clustering. As a result, 14 factors and 19 information sets are identified and classified with a moderately high agreement among the experts. Among these, risk management, product authentication, and visibility are the highest ranked and the most important factors influencing traceability implementation in the textile and clothing supply chain. While origin, composition, and sustainability-related information are crucial for sharing with customers, the information vital to businesses includes manufacturer/supplier details, product specifications, and composition. It is noteworthy that this research is among the few that classifies traceability factors and information through expert perspectives, and it creates decisive knowledge of traceability for the textile and clothing supply chain. It further provides insights on the extent to which this information can be shared among supply chain actors. Outcomes of this study can be helpful for the development of an information traceability framework. Policymakers can use the results to draft traceability guidelines/regulations, whilst top management can develop traceability-related strategies.
    Keywords business enterprises ; clothing ; consumers (people) ; experts ; fabrics ; guidelines ; industry ; risk management ; supply chain ; traceability
    Language English
    Dates of publication 2019-0321
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2518383-7
    ISSN 2071-1050
    ISSN 2071-1050
    DOI 10.3390/su11061698
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: Congenital Absence of the Left Circumflex Artery Presenting With Inferoposterior Wall Myocardial Infarction Due to Stenosis of the Super Dominant Right Coronary Artery: A Rare Case.

    Khurana, Kanishk V / Singh, Aayushi / Rao, Tarun / Toshniwal, Saket / Acharya, Sourya / Agrawal, Gajendra / Chaturvedi, Anuj

    Cureus

    2023  Volume 15, Issue 10, Page(s) e46709

    Abstract: The primary coronary arteries are the right coronary artery (RCA), the left main coronary artery (LMCA), which bifurcate into the left anterior descending artery (LAD), and the left circumflex artery (LCX), arising from the right coronary sinus and left ... ...

    Abstract The primary coronary arteries are the right coronary artery (RCA), the left main coronary artery (LMCA), which bifurcate into the left anterior descending artery (LAD), and the left circumflex artery (LCX), arising from the right coronary sinus and left coronary sinus, respectively. The congenital agenesis of LCX is a very unusual anomaly caused by the inability of LCX to form in the atrioventricular (AV) groove. This condition is usually accompanied by the presence of a large, dominant RCA that supplies its own territory and that of LCX, i.e., the inferior, posterior, and lateral walls. This anomaly is generally detected incidentally during coronary angiography. This condition usually does not manifest as a major cardiovascular event and mildly presents as chest pain upon exertion. The chest pain is vastly attributed to ischemia in the RCA territory, as this "super dominant" vessel majorly directs its supply to the LCX territory for compensation. This is known as the steal phenomenon. In this paper, we discuss a case of a 61-year-old female who came to the ED with the chief complaint of acutely radiating chest pain for five hours and was diagnosed as a case of acute myocardial infarction of the inferior and posterior walls. Coronary angiography revealed 90% stenosis of the RCA and a congenital absence of LCX, which has a significantly low prevalence.
    Language English
    Publishing date 2023-10-09
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.46709
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Experience of Percutaneous Closure of Ventricular Septal Defects in 140 Patients With Different Duct Occluders in a Tertiary Care Rural Hospital in Central India.

    Ghosh, Benumadhab / Sahai, Isha / Agrawal, Gajendra / Khadase, Satish / Rao, Tarun / Lohakare, Akash / Chaturvedi, Anuj / Gomase, Shantanu

    Cureus

    2023  Volume 15, Issue 7, Page(s) e42591

    Abstract: Background Ventricular septal defects (VSDs) are the most common type of septal defects in early infants and are very complicated. This has paved the way for the development of new minimally invasive procedures for interventional cardiologists. This ... ...

    Abstract Background Ventricular septal defects (VSDs) are the most common type of septal defects in early infants and are very complicated. This has paved the way for the development of new minimally invasive procedures for interventional cardiologists. This study presents our experience using duct occluders instead of conventional ventricular septal devices in the Department of Cardiology at Acharya Vinoba Bhave Rural Hospital (AVBRH) in central rural India. This study aimed to review success and complications and assess safety and its relation to age, sex, size of the VSDs, type of VSD, and types of devices used after transcatheter closure of perimembranous and muscular VSDs using various types of duct occluders. Methodology This retrospective study included patients who underwent percutaneous VSD device closure at the AVBRH between July 2017 and December 2020. We reviewed the patients' medical records to recognize imaging, clinical, and interventional data pre- and post-procedure and at the last follow-up. Results The success rate of VSD closure was 98.6%, one (0.7%) out of 81 females developed a complication due to device dislodgement, and one male aged six years (0.7%) out of 59 developed a post-procedural complication; hence, the total failure rate was 1.4%. The perimembranous type had no complication, and the muscular type had two (14.3%) unsuccessful procedures. Conclusion This study has concluded an impressive percentage of VSD closure, showing no mortality and low morbidity, using a percutaneous approach with different duct occluders. As the type of device used is not correlated with device failure and failure rate, duct occluders will be financially helpful in the closure of VSD in indicated patients.
    Language English
    Publishing date 2023-07-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.42591
    Database MEDical Literature Analysis and Retrieval System OnLINE

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