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  1. Article

    Open Access

    Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset

    The objective of this work is to develop a fusion artificial intelligence (AI) model that combines patient electronic medical record (EMR) and physiological sensor data to accurately predict early risk of seps...

    Sudarsan Sadasivuni, Monjoy Saha, Neal Bhatia, Imon Banerjee in Scientific Reports (2022)

  2. No Access

    Article

    Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma

    This paper introducesnear-set based segmentation method for extraction and quantification of mucin regions for detecting mucinouscarcinoma (MC which is a sub type of Invasive ductal carcinoma (IDC)). From hist...

    Soma Banerjee, Monjoy Saha, Indu Arun, Bijan Basak in Journal of Medical Systems (2017)

  3. Article

    Open Access

    An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer

    Being a non-histone protein, Ki-67 is one of the essential biomarkers for the immunohistochemical assessment of proliferation rate in breast cancer screening and grading. The Ki-67 signature is always sensitiv...

    Monjoy Saha, Chandan Chakraborty, Indu Arun, Rosina Ahmed in Scientific Reports (2017)

  4. No Access

    Chapter and Conference Paper

    Histogram Based Thresholding for Automated Nucleus Segmentation Using Breast Imprint Cytology

    Breast imprint cytology is a well-recognized technique and provides a magnificent cytological clarity. For imprint cytology slide preparation, tissue samples from the needle taken out to touch and rolled over ...

    Monjoy Saha, Sanjit Agarwal, Indu Arun, Rosina Ahmed in Advancements of Medical Electronics (2015)