Image-Based Differentiation of Bacterial and Fungal Keratitis Using Deep Convolutional Neural Networks.

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作者： Travis K,Redd ^[1] ; N Venkatesh,Prajna ^[2] ; Muthiah,Srinivasan ^[2] ; Prajna,Lalitha ^[2] ; Tiru,Krishnan ^[3] ; Revathi,Rajaraman ^[4] ; Anitha,Venugopal ^[5] ; Nisha,Acharya ^[6] ; Gerami D,Seitzman ^[6] ; Thomas M,Lietman ^[6] ; Jeremy D,Keenan ^[6] ; J Peter,Campbell ^[1] ; Xubo,Song ^[7]

作者单位： Casey Eye Institute, Oregon Health & Science University, Portland, Oregon. ^[1] Aravind Eye Hospital, Madurai, Tamil Nadu, India. ^[2] Aravind Eye Hospital, Pondicherry, Tamil Nadu, India. ^[3] Aravind Eye Hospital, Coimbatore, Tamil Nadu, India. ^[4] Aravind Eye Hospital, Tirunelveli, Tamil Nadu, India. ^[5] Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, California. ^[6] Department of Medical Informatics and Clinical Epidemiology and Program of Computer Science and Electrical Engineering, Oregon Health & Science University, Portland, Oregon. ^[7]

关键词 AUC, area under the receiver operating characteristic curve Artificial intelligence Bacterial keratitis CI, confidence interval CNN, convolutional neural network Computer vision Convolutional neural networks Corneal ulcer Deep learning Fungal keratitis Infectious keratitis MUTT, Mycotic Ulcer Treatment Trials SCUT, Steroids for Corneal Ulcers Trial

DOI 10.1016/j.xops.2022.100119

PMID 36249698

发布时间 2024-03-21

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Ophthalmology science

2022年2卷2期

100119页

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Image-Based Differentiation of Bacterial and Fungal Keratitis Using Deep Convolutional Neural Networks.

Ophthalmology science

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Image-Based Differentiation of Bacterial and Fungal Keratitis Using Deep Convolutional Neural Networks.

Ophthalmology science

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Ophthalmology science

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