Detection and Classification of Hysteroscopic Images Using Deep Learning

Detection and Classification of Hysteroscopic Images Using Deep Learning

Background: Although hysteroscopy with endometrial biopsy is the gold standard in the diagnosis of endometrial pathology, the gynecologist experience is crucial for a correct diagnosis. Deep learning (DL), as an artificial intelligence method, might help to overcome this limitation. Unfortunately, o...

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Bibliographic Details
Main Authors: Diego Raimondo, Antonio Raffone, Paolo Salucci, Ivano Raimondo, Giampiero Capobianco, Federico Andrea Galatolo, Mario Giovanni Cosimo Antonio Cimino, Antonio Travaglino, Manuela Maletta, Stefano Ferla, Agnese Virgilio, Daniele Neola, Paolo Casadio, Renato Seracchioli
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Cancers
Subjects:
endometrium
uterus
polyps
fibroids
endometrial hyperplasia
endometrial cancer
Online Access:https://www.mdpi.com/2072-6694/16/7/1315

Internet

https://www.mdpi.com/2072-6694/16/7/1315

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