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title:"Breast"

    A Review - Breast Cancer Detection using Deep Learning Methods

    Nath, Srigitha S / Jayapraba, Anjaline / C T, Kalaivani et al. | IEEE | 2022

    BreastNet: Design and Evaluation of a Deep Learning model for recognizing Breast Cancer from Images

    Subramanian, R. Raja / Ravikiran, Lagisetty / Vamsi, Kotte Sai et al. | IEEE | 2022

    Potential Biomarker for Triple-Negative Breast Cancer Invasiveness by Optical Redox Imaging

    Feng, Min / Xu, He N. / Jiang, Jinxia et al. | British Library Conference Proceedings | 2021

    Use of infrared imaging in the assessment of breast tuberculosis

    González, Francisco J. / Ríos, Julián / Toscano-Cárdenas, Vanessa L. et al. | British Library Conference Proceedings | 2020

    The Machine Learning based Optimized Prediction Method for Breast Cancer Detection

    Kumar, Nirdosh / Sharma, Gaurav / Bhargava, Lava | IEEE | 2020

    The anti-proliferative activity of D-mannoheptulose against breast cancer cell line through glycolysis inhibition

    Al-Ziaydi, Ahmed Ghdhban / Hamzah, Mohammed I. / Al-Shammari, Ahmed Majeed et al. | TIBKAT | 2020

    Convolutional Neural Network for Classification of Histopathology Images for Breast Cancer Detection

    Narayanan, Barath Narayanan / Krishnaraja, Vignesh / Ali, Redha | IEEE | 2019

    Predicting Invasive Ductal Carcinoma in breast histology images using Convolutional Neural Network

    Alghodhaifi, Hesham / Alghodhaifi, Abdulmajeed / Alghodhaifi, Mohammed | IEEE | 2019

    Expectation maximization based logistic regression for breast cancer classification

    Rajaguru, Harikumar / Prabhakar, Sunil Kumar | IEEE | 2017

    Imaging the Redox States of Human Breast Cancer Core Biopsies

    Xu, H.N. / Tchou, J. / Chance, B. et al. | British Library Conference Proceedings | 2013

    Breast Cancer Detection of Large Size to DCIS by Hypoxia and Angiogenesis Using NIRS

    Nioka, S. / Shnall, M. / Conant, E. et al. | British Library Conference Proceedings | 2013