5 citations · 10 across the 4 of their papers we have counts for
4 papers
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma +19
Colonoscopy is the primary method for examination, detection, and removal of polyps. However, challenges such as variations among the endoscopists' skills, bowel quality preparatio…
RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization
Avinash Anand, Raj Jaiswal, Mohit Gupta +7
Large ground-truth datasets and recent advances in deep learning techniques have been useful for layout detection. However, because of the restricted layout diversity of these data…
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…
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Prerana Mukherjee, Vinay Kaushik, Ronak Gupta +3
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks. Smart ac…