Semantic analysis of real endoscopies with unsupervised learned descriptorsDownload PDF

Published: 09 May 2022, Last Modified: 12 May 2023MIDL 2022 Short PapersReaders: Everyone
Keywords: Endoscopy, unsupervised learning, image description, scene classification
TL;DR: We use representation learning to perform semantic video segmentation
Abstract: This work explores automatic analysis of medical procedure recordings, in particular, endoscopies. Regular medical practice recordings are noisy and challenging to process, so a quick and automatic overview of their content is essential. We show how advances in unsupervised representation learning can be applied to real medical data, obtaining rich descriptors to perform automatic semantic analysis of these recordings.
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Paper Type: novel methodological ideas without extensive validation
Primary Subject Area: Unsupervised Learning and Representation Learning
Secondary Subject Area: Application: Endoscopy
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