35 citations · 36 across the 4 of their papers we have counts for
4 papers
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…
Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer
Tirupati Saketh Chandr, Sahar Almahfouz Nasser, Nikhil Cherian Kurian +1
The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade. Automated mitosis detection through deep learning-oriented image analysi…
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Saqib Shamsi +2
We present WSSAMNet, a weakly supervised method for medical image registration. Ours is a two step method, with the first step being the computation of segmentation masks of the fi…
Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images
Abhijeet Patil, Mohd. Talha, Aniket Bhatia +4
Performance of deep learning algorithms decreases drastically if the data distributions of the training and testing sets are different. Due to variations in staining protocols, rea…