Explainable U-Net model forMedical Image Segmentation

Authors

  • Sahadev Poudel Gachon University
  • Sang-Woong Lee Gachon University

DOI:

https://doi.org/10.5617/nmi.9142

Keywords:

artificial intelligence, deep learning, medical imaging

Abstract

In this nutshell, we propose a simple, efficient, and explainable deep learning-based U-Net algorithm for the MedAI challenge, focusing on precise segmentation of polyp and instrument and transparency on algorithms. We develop a straightforward encoder-decoder-based algorithm for the task above. We make an effort to make a simple network as much as possible. Specially, we focus on input resolution and width of the model to find the best optimal settings for the network. We perform ablation studies to cover this aspect.

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Published

2021-11-01