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A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition
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DOI：10.1111/aogs.70293.png)
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Abstract
En 中文
Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion recognition. Standardization of the visual classification of lesions, in the form of an ontology, is an essential prerequisite to enable medical experts to annotate surgical data consistently and subsequently allow engineers to train and build an artificial intelligence tool for endometriosis recognition.
Keywords:
artificial intelligence
computer vision
endometriosis
laparoscopy
machine learning
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