23 citations · 25 across the 5 of their papers we have counts for
5 papers
A Multi Center Breast FNAC Whole-Slide Cytology Dataset for AI-Assisted Patch-Wise Classification Using C1 to C5 Reporting Categories
Garima Jain, Abhijeet Patil, Surabhi Jain +36
We present a multi center breast fine needle aspiration cytology (FNAC) dataset designed for patch wise classification using C1 to C5 reporting labels. The prospective dataset incl…
Med-CAM: Minimal Evidence for Explaining Medical Decision Making
Pirzada Suhail, Aditya Anand, Amit Sethi
Reliable and interpretable decision-making is essential in medical imaging, where diagnostic outcomes directly influence patient care. Despite advances in deep learning, most medic…
A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma
Garima Jain, Sanghamitra Pati, Mona Duggal +34
Oral squamous cell carcinoma OSCC is a major global health burden, particularly in several regions across Asia, Africa, and South America, where it accounts for a significant propo…
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…
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue
Philippe Weitz, Masi Valkonen, Leslie Solorzano +38
The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for research and clinical applications. Advances in computing, deep learning, and availability…