ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification. (arXiv:2201.08746v1 [cs.CV])

Web: http://arxiv.org/abs/2201.08746

The article presents a new multi-label comprehensive image dataset from
flexible endoscopy, colonoscopy and capsule endoscopy, named ERS. The
collection has been labeled according to the full medical specification of
'Minimum Standard Terminology 3.0' (MST 3.0), describing all possible findings
in the gastrointestinal tract (104 possible labels), extended with an
additional 19 labels useful in common machine learning applications.

The dataset contains around 6000 precisely and 115,000 approximately labeled
frames from endoscopy videos, 3600 precise and 22,600 approximate segmentation
masks, …

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