29 citations · 123 across the 24 of their papers we have counts for
8 papers · 1 filter
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans
Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar +7
In this study, we propose a new activation function, called Adaptive Smooth Activation Unit (ASAU), tailored for optimized gradient propagation, thereby enhancing the proficiency o…
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection
Debesh Jha, Vanshali Sharma, Neethi Dasu +8
Integrating real-time artificial intelligence (AI) systems in clinical practices faces challenges such as scalability and acceptance. These challenges include data availability, bi…
Prototype Learning for Out-of-Distribution Polyp Segmentation
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
Existing polyp segmentation models from colonoscopy images often fail to provide reliable segmentation results on datasets from different centers, limiting their applicability. Our…
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
Debesh Jha, Vanshali Sharma, Debapriya Banik +30
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps durin…
TransRUPNet for Improved Polyp Segmentation
Debesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya +1
Colorectal cancer is among the most common cause of cancer worldwide. Removal of precancerous polyps through early detection is essential to prevent them from progressing to colon…
A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice
Debesh Jha, Gorkem Durak, Vanshali Sharma +12
Artificial Intelligence (AI) is poised to transform healthcare delivery through revolutionary advances in clinical decision support and diagnostic capabilities. While human experti…
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma +1
Colonoscopy is considered the most effective screening test to detect colorectal cancer (CRC) and its precursor lesions, i.e., polyps. However, the procedure experiences high miss…
RUPNet: Residual upsampling network for real-time polyp segmentation
Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
Colorectal cancer is among the most prevalent cause of cancer-related mortality worldwide. Detection and removal of polyps at an early stage can help reduce mortality and even help…