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Deep Learning Improves Accuracy of Laparoscopic Imaging Classification for Endometriosis Diagnosis

2023-12-07

Abstract excerpt

<h4>Purpose: </h4> The purpose of this research was the development and evaluation of an intelligent assistive classification system for the recognition of endometriosis and the improvement of the accuracy of laparoscopic imaging in diagnosis. The research was developed with the use of Deep Learning approaches. Methods Data from 4448 laparoscopy images were used in a retrospective chart analysis. The data were div...

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Literature Corpus work
5601b8ff-2c8e-5f89-8eb9-a48ee8823c01
DOI
10.20944/preprints202312.0475.v1
Open publication

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Deep Learning Improves Accuracy of Laparoscopic Imaging Classification for Endometriosis DiagnosisDOI 10.20944/preprints202312.0475.v1
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