Search Results - "Zidan, Hassan E"

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  1. 1

    Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning-A feasibility study by Badawy, Samir M, Mohamed, Abd El-Naser A, Hefnawy, Alaa A, Zidan, Hassan E, GadAllah, Mohammed T, El-Banby, Ghada M

    Published in PloS one (20-05-2021)
    “…Computer aided diagnosis (CAD) of biomedical images assists physicians for a fast facilitated tissue characterization. A scheme based on combining fuzzy logic…”
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    Journal Article
  2. 2

    A mathematical model for simulating photoacoustic signal generation and propagation in biological tissues by GadAllah, Mohammed Tarek, Mohamed, Abd El-Naser A., Hefnawy, Alaa A., Zidan, Hassan E., El-Banby, Ghada M., Badawy, Samir Mohamed

    Published in Optical and quantum electronics (2024)
    “…Photoacoustic (PA) medical imaging is a crossbred technique relying on light-induced ultrasonic waves due to the PA effect phenomenon recorded primarily in…”
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    Journal Article
  3. 3

    Photoacoustic Sensing for Differentiating Breast Cancer Sizes - A Numerical Simulation Study by GadAllah, Mohammed Tarek, Mohamed, Abd El-Naser A., Hefnawy, Alaa A., Zidan, Hassan E., El-Banby, Ghada M., Mohamed Badawy, Samir

    “…Photoacoustic (PA) sensing is a crossbred technique relying on light-produced ultrasonic signals due to a phenomenon called the PA effect. PA imaging (PAI),…”
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    Conference Proceeding
  4. 4

    Convolutional Neural Networks Based Classification of Segmented Breast Ultrasound Images - A Comparative Preliminary Study by GadAllah, Mohammed Tarek, Mohamed, Abd El-Naser A., Hefnawy, Alaa A., Zidan, Hassan E., El-Banby, Ghada M., Mohamed Badawy, Samir

    “…Computer-aided diagnosis (CAD) helps physicians in tumors' identification into various biomedical tissues, breast is one. Through the last few years, image…”
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    Conference Proceeding
  5. 5

    A Wavelet - Fuzzy Combination Based Approach for Efficient Cancer Characterization in Breast Ultrasound Images by Badawy, Samir M., Zidan, Hassan E., Mohamed, Abd El-Naser A., Hefnawy, Alaa A., GadAllah, Mohammed T., El-Banby, Ghada M.

    “…Breast ultrasound (BUS) images are commonly influenced by speckle noise as a result of the phenomenon. Most types of speckle noise are a multiplicative one…”
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    Conference Proceeding
  6. 6

    Classification of Breast Ultrasound Images Based on Convolutional Neural Networks - A Comparative Study by Badawy, Samir M., Mohamed, Abd El-Naser A., Hefnawy, Alaa A., Zidan, Hassan E., GadAllah, Mohammed T., El-Banby, Ghada M.

    “…Computer aided diagnosis (CAD) helps physicians towards an early characterization of tumors in different biomedical tissues, including Breast. Deep learning…”
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    Conference Proceeding
  7. 7

    Properties of convolved room impulse responses by Svensson, U. P., Zidan, Hassan EL-Banna, Nielsen, Johan L.

    “…In loudspeaking teleconferencing applications, the impulse response from a talker in one room to a listener in the other room involves a convolution of two…”
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    Conference Proceeding