Augmenting Community Diagnosis of Safe Ear Disease Through Tele-Myringoscopy with Borescope Using AIML Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Otorhinolaryngology,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s12070-023-03769-3.pdf
Reference8 articles.
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2. Cha D, Pae C, Seong SB, Choi JY, Park HJ (2019) Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database. EBioMedicine 45:606–614
3. Myburgh HC, Jose S, Swanepoel DW, Laurent C (2018) Towards low cost automated smartphone- and cloud-based otitis media diagnosis. Biomed Sig Process Control 39:34–52
4. Lee JY, Choi S-H, Chung JW (2019) Automated classification of the tympanic membrane using a convolutional neural network. Appl Sci 9(9):1827
5. Tran T-T, Fang T-Y, Pham V-T, Lin C, Wang P-C, Lo M-T (2018) Development of an Automatic Diagnostic Algorithm for Pediatric Otitis Media. Otol Neurotol 39:1060–1065
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