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  1. Article: Spectral indexes obtained by implementation of the fractional Fourier and Hermite transform for the diagnosis of malignant melanoma.

    Garza-Flores, Esbanyely / Guerra-Rosas, Esperanza / Álvarez-Borrego, Josué

    Biomedical optics express

    2019  Volume 10, Issue 12, Page(s) 6043–6056

    Abstract: Many people suffer from different skin diseases, which can be diverse and varied. Most skin diseases cause disorders in the skin, such as changes in color, texture, and appearance manifesting in spots, swelling, scaling, ulcers, etc. One of the diseases ... ...

    Abstract Many people suffer from different skin diseases, which can be diverse and varied. Most skin diseases cause disorders in the skin, such as changes in color, texture, and appearance manifesting in spots, swelling, scaling, ulcers, etc. One of the diseases that represents a serious health problem is skin cancer. The most dangerous skin cancer is malignant melanoma, which can cause death if not detected early. Therefore, development of new and accurate diagnosis methodologies to increase the chance of early detection is important. In this work, an analysis to discriminate between malignant melanoma and three types of benign skin lesions-melanocytic nevus, dermatofibroma, and seborrheic keratosis-is realized by calculating spectral indexes based on the real and imaginary parts of a fractional nonlinear filter obtained by affecting the modulus of the fractional Fourier transform by an exponent
    Language English
    Publishing date 2019-11-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2572216-5
    ISSN 2156-7085
    ISSN 2156-7085
    DOI 10.1364/BOE.10.006043
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Identification of melanoma cells: a method based in mean variance of signatures via spectral densities.

    Guerra-Rosas, Esperanza / Álvarez-Borrego, Josué / Angulo-Molina, Aracely

    Biomedical optics express

    2017  Volume 8, Issue 4, Page(s) 2185–2194

    Abstract: In this paper a new methodology to detect and differentiate melanoma cells from normal cells through 1D-signatures averaged variances calculated with a binary mask is presented. The sample images were obtained from histological sections of mice melanoma ... ...

    Abstract In this paper a new methodology to detect and differentiate melanoma cells from normal cells through 1D-signatures averaged variances calculated with a binary mask is presented. The sample images were obtained from histological sections of mice melanoma tumor of 4 [Formula: see text] in thickness and contrasted with normal cells. The results show that melanoma cells present a well-defined range of averaged variances values obtained from the signatures in the four conditions used.
    Language English
    Publishing date 2017-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2572216-5
    ISSN 2156-7085
    ISSN 2156-7085
    DOI 10.1364/BOE.8.002185
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Methodology for diagnosing of skin cancer on images of dermatologic spots by spectral analysis.

    Guerra-Rosas, Esperanza / Álvarez-Borrego, Josué

    Biomedical optics express

    2015  Volume 6, Issue 10, Page(s) 3876–3891

    Abstract: In this paper a new methodology for the diagnosing of skin cancer on images of dermatologic spots using image processing is presented. Currently skin cancer is one of the most frequent diseases in humans. This methodology is based on Fourier spectral ... ...

    Abstract In this paper a new methodology for the diagnosing of skin cancer on images of dermatologic spots using image processing is presented. Currently skin cancer is one of the most frequent diseases in humans. This methodology is based on Fourier spectral analysis by using filters such as the classic, inverse and k-law nonlinear. The sample images were obtained by a medical specialist and a new spectral technique is developed to obtain a quantitative measurement of the complex pattern found in cancerous skin spots. Finally a spectral index is calculated to obtain a range of spectral indices defined for skin cancer. Our results show a confidence level of 95.4%.
    Language English
    Publishing date 2015-09-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2572216-5
    ISSN 2156-7085
    ISSN 2156-7085
    DOI 10.1364/BOE.6.003876
    Database MEDical Literature Analysis and Retrieval System OnLINE

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