41 citations · 132 across the 15 of their papers we have counts for
9 papers · 1 filter
Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models
Garima Jain, Ravi Kant Gupta, Priyansh Jain +5
In this study, we propose a robust methodology for identification of myeloid blasts followed by prediction of genetic mutation in single-cell images of blasts, tackling challenges…
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…
Evaluation Metric for Quality Control and Generative Models in Histopathology Images
Pranav Jeevan, Neeraj Nixon, Abhijeet Patil +1
Our study introduces ResNet-L2 (RL2), a novel metric for evaluating generative models and image quality in histopathology, addressing limitations of traditional metrics, such as Fr…
PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images
Akhila Krishna, Nikhil Cherian Kurian, Abhijeet Patil +2
Accurate survival prediction is essential for personalized cancer treatment. However, genomic data - often a more powerful predictor than pathology data - is costly and inaccessibl…
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…
HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning
Ardhendu Sekhar, Vrinda Goel, Garima Jain +5
The current standard for detecting human epidermal growth factor receptor 2 (HER2) status in breast cancer patients relies on HER2 amplification, identified through fluorescence in…
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…
Visualization for Histopathology Images using Graph Convolutional Neural Networks
Mookund Sureka, Abhijeet Patil, Deepak Anand +1
With the increase in the use of deep learning for computer-aided diagnosis in medical images, the criticism of the black-box nature of the deep learning models is also on the rise.…