More Birds in the Hand -Medical Image Segmentation using a Multi-Model Ensemble Framework

Authors

  • Yung-Han Chen NYCU
  • Pei-Hsuan Kuo Institute of Electronics, National Yang Ming Chiao Tung University
  • Yi-Zeng Fang Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu
  • Wei-Lin Wang Institute of Electronics, National Yang Ming Chiao Tung University

DOI:

https://doi.org/10.5617/nmi.9128

Keywords:

medical image segmentation, polyp segmentation, instrument segmentation, model ensemble

Abstract

In this paper, we introduce a multi-model ensemble framework for medical image segmentation. We first collect a set of state-of-the-art models in this field and further improve them through a series of architecture refinement moves and a set of specific training skills. We then integrate these fine-tuned models into a more powerful ensemble framework. Preliminary experiment results show that the proposed multi-model ensemble framework performs well under the given polyp and instrument datasets.

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Published

2021-11-01