Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks

• URL: http://arxiv.org/abs/2406.03901v1
• Date: Thu, 6 Jun 2024 09:37:46 GMT
• Title: Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks
• Authors: Adrian Galdran,
• Abstract summary: 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. Experimental results show that our method produces segmentations that show a good agreement with manual delineations provided by medical experts.
• Score: 1.6653762541912462
• License: http://creativecommons.org/licenses/by/4.0/
• 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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