most citedGenerative Adversarial Networks for Automatic Polyp Segmentation

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

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2 papers

eess.IV2021

Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation

Awadelrahman M. A. Ahmed, Leen A. M. Ali

This paper contributes to automating medical image segmentation by proposing generative adversarial network-based models to segment both polyps and instruments in endoscopy images.…

eess.IV2020★ 2 cited

Generative Adversarial Networks for Automatic Polyp Segmentation

Awadelrahman M. A. Ali Ahmed

This paper aims to contribute in bench-marking the automatic polyp segmentation problem using generative adversarial networks framework. Perceiving the problem as an image-to-image…