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  1. No Access

    Article

    Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm

    The manual examination of Breast Cancer (BC) images for disease detection is prone to error, is time-consuming, and has low accuracy. The Computer-Aided Detection (CAD) system can overcome the above-mentioned ...

    Kushangi Atrey, Bikesh Kumar Singh… in Multimedia Tools and Applications (2024)

  2. No Access

    Article

    A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach

    Manual segmentation of breast lesions is a tedious and time-consuming task. The existing state-of-the-art studies are evaluated on single modalities, i.e., either on mammogram or ultrasound thereby having limi...

    Kushangi Atrey, Bikesh Kumar Singh, Abhijit Roy… in Signal, Image and Video Processing (2023)

  3. No Access

    Chapter and Conference Paper

    Feature Selection for Classification of Breast Cancer in Histopathology Images: A Comparative Investigation Using Wavelet-Based Color Features

    Breast cancer is taken into account as one of the foremost common kinds of cancer occurring in women worldwide. This work is intended to develop an automated classification system in order to classify the brea...

    Kushangi Atrey, Bikesh Kumar Singh… in Advances in Biomedical Engineering and Tec… (2021)