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Image_1_Patient selection for corneal topographic evaluatio..:

Hyunmin Ahn ; Na Eun Kim ; Jae Lim Chung...
doi:10.3389/fmed.2022.934865.s001. , 2022

Link: https://doi.org/10.3389/fmed.2022.934865.s001

RT Journal
T1 <Title>Image_1_Patient selection for corneal topographic evaluation of keratoconus: A screening approach using artificial intelligence.PNG</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_20430039&Exemplar=1&LAN=DE
				
A1 Hyunmin Ahn
A1 Na Eun Kim
A1 Jae Lim Chung
A1 Young Jun Kim
A1 Ikhyun Jun
A1 Tae-im Kim
A1 Kyoung Yul Seo
YR 2022
K1 Dermatology
K1 Emergency Medicine
K1 Gastroenterology and Hepatology
K1 Geriatrics and Gerontology
K1 Intensive Care
K1 Medical Genetics (excl. Cancer Genetics)
K1 Nephrology and Urology
K1 Nuclear Medicine
K1 Orthopaedics
K1 Otorhinolaryngology
K1 Pathology (excl. Oral Pathology)
K1 Radiology and Organ Imaging
K1 Foetal Development and Medicine
K1 Obstetrics and Gynaecology
K1 Family Care
K1 Primary Health Care
K1 Medical and Health Sciences not elsewhere classified
K1 artificial intelligence
K1 corneal topography
K1 keratoconus
K1 machine learning
K1 Pentacam
K1 screening test
JF doi:10.3389/fmed.2022.934865.s001
LK http://dx.doi.org/https://doi.org/10.3389/fmed.2022.934865.s001
DO https://doi.org/10.3389/fmed.2022.934865.s001
SF ELIB - SuUB Bremen

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