112 citations · 284 across the 7 of their papers we have counts for
7 papers
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…
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…
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley +4
The human visual system is remarkable in learning new visual concepts from just a few examples. This is precisely the goal behind few-shot class incremental learning (FSCIL), where…
Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm
Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva +1
Segmentation is an essential requirement in medicine when digital images are used in illness diagnosis, especially, in posterior tasks as analysis and disease identification. An ef…
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification
Rohit Kundu, Hritam Basak, Akhil Koilada +3
Cervical cancer is the fourth most common category of cancer, affecting more than 500,000 women annually, owing to the slow detection procedure. Early diagnosis can help in treatin…
Testable Designs of Toffoli Fredkin Reversible Circuits
Hari Mohan Gaur, Ashutosh Kumar Singh, Umesh Ghanekar
Loss of every bit in traditional logic circuits involves dissipation of power in the form of heat that evolve to the environment. Reversible logic is one of the alternatives that h…
Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection
Hritam Basak, Rohit Kundu, Sukanta Chakraborty +1
Cervical cancer is one of the most deadly and common diseases among women worldwide. It is completely curable if diagnosed in an early stage, but the tedious and costly detection p…