Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy

To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep learning methods to identify middle ear disease from otoscopic images, between internal to external performance. 1842 otoscopic images were collected from three independent sources: (a) Van, Turkey, (b) Santiag...

Full description

Saved in:

Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; pp. 5368 - 9
Main Authors:	Habib, Al-Rahim, Xu, Yixi, Bock, Kris, Mohanty, Shrestha, Sederholm, Tina, Weeks, William B., Dodhia, Rahul, Ferres, Juan Lavista, Perry, Chris, Sacks, Raymond, Singh, Narinder
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.04.2023 Nature Publishing Group Nature Portfolio
Subjects:	692/308/575 692/700/139 692/700/478 Algorithms Artificial Intelligence Deep Learning Ear diseases Ear Diseases - diagnostic imaging Humanities and Social Sciences Humans Middle ear multidisciplinary Otoscopy - methods Science Science (multidisciplinary) Teaching methods
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!