LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 7 of total 7

Search options

  1. Book ; Online: Persistent Homology for Breast Tumor Classification using Mammogram Scans

    Asaad, Aras / Ali, Dashti / Majeed, Taban / Rashid, Rasber

    2022  

    Abstract: An Important tool in the field topological data analysis is known as persistent Homology (PH) which is used to encode abstract representation of the homology of data at different resolutions in the form of persistence diagram (PD). In this work we build ... ...

    Abstract An Important tool in the field topological data analysis is known as persistent Homology (PH) which is used to encode abstract representation of the homology of data at different resolutions in the form of persistence diagram (PD). In this work we build more than one PD representation of a single image based on a landmark selection method, known as local binary patterns, that encode different types of local textures from images. We employed different PD vectorizations using persistence landscapes, persistence images, persistence binning (Betti Curve) and statistics. We tested the effectiveness of proposed landmark based PH on two publicly available breast abnormality detection datasets using mammogram scans. Sensitivity of landmark based PH obtained is over 90% in both datasets for the detection of abnormal breast scans. Finally, experimental results give new insights on using different types of PD vectorizations which help in utilising PH in conjunction with machine learning classifiers.

    Comment: 14 pages
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition ; Mathematics - Algebraic Topology ; 55N31
    Subject code 006 ; 004
    Publishing date 2022-01-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Article ; Online: Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.

    Majeed, Taban / Rashid, Rasber / Ali, Dashti / Asaad, Aras

    Physical and engineering sciences in medicine

    2020  Volume 43, Issue 4, Page(s) 1289–1303

    Abstract: Covid-19 first occurred in Wuhan, China in December 2019. Subsequently, the virus spread throughout the world and as of June 2020 the total number of confirmed cases are above 4.7 million with over 315,000 deaths. Machine learning algorithms built on ... ...

    Abstract Covid-19 first occurred in Wuhan, China in December 2019. Subsequently, the virus spread throughout the world and as of June 2020 the total number of confirmed cases are above 4.7 million with over 315,000 deaths. Machine learning algorithms built on radiography images can be used as a decision support mechanism to aid radiologists to speed up the diagnostic process. The aim of this work is to conduct a critical analysis to investigate the applicability of convolutional neural networks (CNNs) for the purpose of COVID-19 detection in chest X-ray images and highlight the issues of using CNN directly on the whole image. To accomplish this task, we use 12-off-the-shelf CNN architectures in transfer learning mode on 3 publicly available chest X-ray databases together with proposing a shallow CNN architecture in which we train it from scratch. Chest X-ray images are fed into CNN models without any preprocessing to replicate researches used chest X-rays in this manner. Then a qualitative investigation performed to inspect the decisions made by CNNs using a technique known as class activation maps (CAM). Using CAMs, one can map the activations contributed to the decision of CNNs back to the original image to visualize the most discriminating region(s) on the input image. We conclude that CNN decisions should not be taken into consideration, despite their high classification accuracy, until clinicians can visually inspect and approve the region(s) of the input image used by CNNs that lead to its prediction.
    MeSH term(s) Artifacts ; COVID-19/diagnosis ; COVID-19/diagnostic imaging ; COVID-19/microbiology ; COVID-19/virology ; Confidence Intervals ; Databases as Topic ; Deep Learning ; Humans ; Image Processing, Computer-Assisted ; Neural Networks, Computer ; SARS-CoV-2/physiology ; Thorax/diagnostic imaging ; X-Rays
    Keywords covid19
    Language English
    Publishing date 2020-10-06
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2662-4737
    ISSN (online) 2662-4737
    DOI 10.1007/s13246-020-00934-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article: Deep Insights in Circular RNAs: from biogenesis to therapeutics.

    Mumtaz, Peerzada Tajamul / Taban, Qamar / Dar, Mashooq Ahmad / Mir, Shabir / Haq, Zulfkar Ul / Zargar, Sajad Majeed / Shah, Riaz Ahmad / Ahmad, Syed Mudasir

    Biological procedures online

    2020  Volume 22, Page(s) 10

    Language English
    Publishing date 2020-05-15
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2027823-8
    ISSN 1480-9222
    ISSN 1480-9222
    DOI 10.1186/s12575-020-00122-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article ; Online: Covid-19 Detection using CNN Transfer Learning from X-ray Images

    Majeed, Taban / Rashid, Rasber / Ali, Dashti / Asaad, Aras

    medRxiv

    Abstract: The Covid-19 first occurs in Wuhan, China in December 2019. After that the virus spread all around the world and at the time of writing this paper the total number of confirmed cases are above 4 million with over 297000 deaths. Machine learning ... ...

    Abstract The Covid-19 first occurs in Wuhan, China in December 2019. After that the virus spread all around the world and at the time of writing this paper the total number of confirmed cases are above 4 million with over 297000 deaths. Machine learning algorithms built on radiography images can be used as a decision support mechanism to aid radiologists to speed up the diagnostic process. The aim of this work is twofold. First, a quantitative analysis where we evaluate 12 off-the-shelf convolutional neural networks (CNNs) and proposed a simple CNN architecture with less parameters and computational power that can perform as good as Xception and DenseNet architectures if trained on small dataset of chest X-ray images. Secondly, a qualitative investigation to inspect the decisions made by CNNs using a technique known as class activation maps (CAM). Using CAMs, one can map the activations contributed most to the decision of CNNs back to the original image to visualize the most discriminating regions in the input image. Chest X-ray images used in this work are coming from multiple sources which comprises of 154 confirmed COVID-19 images and over 5000 X-rays of normal, bacterial and other viral (non-COVID-19) infections. We conclude that CNN decisions should not be taken into consideration until radiologist/clinicians can visually inspect the region(s) of the input image used by CNNs that lead to its prediction. This work also reports the necessity of segmenting the region of interest (ROI) to prevent CNNs building their decision from features outside ROI.
    Keywords covid19
    Language English
    Publishing date 2020-05-18
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.05.12.20098954
    Database COVID19

    Full text online

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article ; Online: Deep Insights in Circular RNAs

    Peerzada Tajamul Mumtaz / Qamar Taban / Mashooq Ahmad Dar / Shabir Mir / Zulfkar ul Haq / Sajad Majeed Zargar / Riaz Ahmad Shah / Syed Mudasir Ahmad

    Biological Procedures Online, Vol 22, Iss 1, Pp 1-

    from biogenesis to therapeutics

    2020  Volume 16

    Abstract: Abstract Circular RNAs (circRNAs) have emerged as a universal novel class of eukaryotic non-coding RNA (ncRNA) molecules and are becoming a new research hotspot in RNA biology. They form a covalent loop without 5′ cap and 3′ tail, unlike their linear ... ...

    Abstract Abstract Circular RNAs (circRNAs) have emerged as a universal novel class of eukaryotic non-coding RNA (ncRNA) molecules and are becoming a new research hotspot in RNA biology. They form a covalent loop without 5′ cap and 3′ tail, unlike their linear counterparts. Endogenous circRNAs in mammalian cells are abundantly conserved and discovered so far. In the biogenesis of circRNAs exonic, intronic, reverse complementary sequences or RNA-binding proteins (RBPs) play a very important role. Interestingly, the majority of them are highly conserved, stable, resistant to RNase R and show developmental-stage/tissue-specific expression. CircRNAs play multifunctional roles as microRNA (miRNA) sponges, regulators of transcription and post-transcription, parental gene expression and translation of proteins in various diseased conditions. Growing evidence shows that circRNAs play an important role in neurological disorders, atherosclerotic vascular disease, and cancer and potentially serve as diagnostic or predictive biomarkers due to its abundance in various biological samples. Here, we review the biogenesis, properties, functions, and impact of circRNAs on various diseases. Graphical Abstract
    Keywords Circular RNA ; Biogenesis ; MicroRNA sponge ; Gene expression regulation ; Disease biomarker ; Medicine (General) ; R5-920 ; Biology (General) ; QH301-705.5
    Subject code 612
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  6. Article: Anti-Atherosclerotic and Anti-Inflammatory Effects of Curcumin on Hypercholesterolemic Male Rabbits.

    Majeed, Murooj L / Ghafil, Fadhaa A / Fatima, Ghizal / Hadi, Najah R / Mahdi, Hind F

    Indian journal of clinical biochemistry : IJCB

    2019  Volume 36, Issue 1, Page(s) 74–80

    Abstract: ... randomly divided into four groups each of 5. Group 1: (normal control) were fed corn pellets diet and tab ... tab water. Group 3: (cholesterol and rosuvastatin treated group) were kept on cholesterol rich diet (2 ...

    Abstract Curcumin has a potent antioxidant and anti-inflammatory properties that may suppress inflammatory component of atherosclerosis. It has been demonstrated that curcumin derivatives can reduce the formation of arterial fatty streaks in cholesterol-fed rabbits. Therefore in this study we evaluated the protective effects of Curcumin on the progression of atherosclerosis. 20 mature rabbits were included for this study; they were randomly divided into four groups each of 5. Group 1: (normal control) were fed corn pellets diet and tab water, group 2: (high cholesterol diet control) were kept on cholesterol rich diet (2% cholesterol) and tab water. Group 3: (cholesterol and rosuvastatin treated group) were kept on cholesterol rich diet (2% cholesterol) and 2.5 mg/kg/day Rosuvastatin dispersed in DW and given orally, group 4: (cholesterol and curcumin treated group) were kept on cholesterol rich diet (2% cholesterol) and 0.2% curcumin added with corn pellets. The study continued for 12 weeks then assessment of serum level of high sensitive C-reactive protein, ICAM1, VCAM1 and PCSK9 was carried out at the end of the study. Total antioxidant activity of curcumin was also determined. Histopathological examination of aortic tissues for atherosclerotic changes was also carried out. Atherogenic (cholesterol rich diet) induced an increment in serum level of TC, LDL, VLDL and TG with concomitant decrement in serum level of HDL and increased atherogenic index. Treatment with curcumin produced substantial reduction in serum TC, LDL, TG with no effect on HDL level thus decreased atherogenic index. Rabbits treated with curcumin showed a significant reduction in the serum level of high sensitive C-reactive protein, ICAM1, VCAM, PCSK9 serum expression and aortic total antioxidant capacity. Curcumin has a potent anti-inflammatory and anti- oxidant effects against atherosclerosis so exerts a protective role by decreasing lipid oxidation and inflammatory markers.
    Language English
    Publishing date 2019-11-19
    Publishing country India
    Document type Journal Article
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-019-00858-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 2949: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Article: Nebivolol Attenuates Neutrophil Lymphocyte Ratio: A Marker of Subclinical Inflammation in Hypertensive Patients.

    Hussain, Mazhar / Saeed, Muhammad / Babar, Muhammad Zafar Majeed / Atif, Moazzam Ali / Akhtar, Lubna

    International journal of hypertension

    2017  Volume 2017, Page(s) 7643628

    Abstract: ... divided into two groups to prescribed daily dose of tab nebivolol 5-10 mg and metoprolol 50-100 mg ...

    Abstract Background: High value of neutrophil lymphocyte ratio (NLR) is a strong independent predictor and biomarker of ongoing vascular inflammation in various cardiovascular disorders.
    Objective: The main focus of the study is to investigate the effect of nebivolol on NLR in mild to moderate hypertensive patients in comparison with metoprolol. In addition, BMI, blood pressure, TLC count, blood sugar, and lipid profile were also assayed before and after treatment.
    Materials and methods: In this 12-week prospective double-blinded randomized study, 120 patients with mild to moderate hypertension were randomly divided into two groups to prescribed daily dose of tab nebivolol 5-10 mg and metoprolol 50-100 mg, respectively, for 12 weeks. The data were analyzed using SPSS 16 software.
    Results: A total of 100 patients completed the study. Both drugs lowered blood pressure significantly, nebivolol 20.5/10.5 and metoprolol 22.5/11.2 (
    Conclusion: Nebivolol has a strong impact on reducing NLR, a marker of subclinical inflammation in hypertensive patients. Moreover NLR can be used as a disease and drug monitoring tool in these patients.
    Language English
    Publishing date 2017-07-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2573167-1
    ISSN 2090-0392 ; 2090-0384
    ISSN (online) 2090-0392
    ISSN 2090-0384
    DOI 10.1155/2017/7643628
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top