112 citations · 279 across the 17 of their papers we have counts for
4 papers · 1 filter
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation
Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu +2
Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis tasks. However, the e…
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI
Hritam Basak, Sagnik Ghosal, Ram Sarkar
Due to the imbalanced and limited data, semi-supervised medical image segmentation methods often fail to produce superior performance for some specific tailed classes. Inadequate t…
MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
Hritam Basak, Rohit Kundu, Ram Sarkar
Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, and extract discriminative features for further diagnosis. Sk…
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation
Hritam Basak, Rajarshi Bhattacharya, Rukhshanda Hussain +1
The scarcity of pixel-level annotation is a prevalent problem in medical image segmentation tasks. In this paper, we introduce a novel regularization strategy involving interpolati…