most citedTransformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20242 cited

Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation

Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas +4

Colorectal cancer (CRC) is the third most common cause of cancer diagnosed in the United States and the second leading cause of cancer-related death among both genders. Notably, CR…

cs.CV2024

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation

Koushik Biswas, Ridal Pal, Shaswat Patel +10

Accurately segmenting different organs from medical images is a critical prerequisite for computer-assisted diagnosis and intervention planning. This study proposes a deep learning…

eess.IV2024

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques

Ziliang Hong, Debesh Jha, Koushik Biswas +9

Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression and prognosis, emphasizing the critical need for accurate detection and assessment in p…

eess.IV20241 cited

CT Liver Segmentation via PVT-based Encoding and Refined Decoding

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas +7

Accurate liver segmentation from CT scans is essential for effective diagnosis and treatment planning. Computer-aided diagnosis systems promise to improve the precision of liver di…

cs.LG2023

A Non-monotonic Smooth Activation Function

Koushik Biswas, Meghana Karri, Ulaş Bağcı

Activation functions are crucial in deep learning models since they introduce non-linearity into the networks, allowing them to learn from errors and make adjustments, which is ess…