35 citations · 36 across the 4 of their papers we have counts for
5 papers
State-Aware Interaction MIL for Rare Joint Molecular Phenotype Prediction in Colorectal Cancer and Lung Adenocarcinoma
Dasari Naga Raju, Tripti Bameta
Joint molecular phenotype prediction is complicated by small joint-positive populations and overlapping histological features across alternative molecular states. Existing computat…
Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images
Abhijeet Patil, Garima Jain, Harsh Diwakar +4
We developed a software pipeline for quality control (QC) of histopathology whole slide images (WSIs) that segments various regions, such as blurs of different levels, tissue regio…
Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
Abhijeet Patil, Harsh Diwakar, Jay Sawant +5
Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic soft…
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification
Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta +5
Segmentation and classification of cell nuclei in histopathology images using deep neural networks (DNNs) can save pathologists' time for diagnosing various diseases, including can…
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning
Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian +2
The standard diagnostic procedures for targeted therapies in lung cancer treatment involve histological subtyping and subsequent detection of key driver mutations, such as EGFR. Ev…