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20122026
most citedAn Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification

70 citations · 115 across the 10 of their papers we have counts for

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eess.IV2021★ 3 cited

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation

Abhishek Srivastava, Debesh Jha, Sukalpa Chanda +6

Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot efficiently segment objects of…

eess.IV2019

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4

Accurate computer-aided polyp detection and segmentation during colonoscopy examinations can help endoscopists resect abnormal tissue and thereby decrease chances of polyps growing…