Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks

Adrian Galdran

doi:10.5617/nmi.9107

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arXiv · 2406.03901

Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks

Adrian Galdran

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Abstract

This paper describes a solution for the MedAI competition, in which participants were required to segment both polyps and surgical instruments from endoscopic images. Our approach relies on a double encoder-decoder neural network which we have previously applied for polyp segmentation, but with a series of enhancements: a more powerful encoder architecture, an improved optimization procedure, and the post-processing of segmentations based on tempered model ensembling. Experimental results show that our method produces segmentations that show a good agreement with manual delineations provided by medical experts.

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eess.IV cs.CV cs.LG

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Adrian Galdran. 2024-06-06. Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks. https://doi.org/10.5617/nmi.9107

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