换一批Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs: Model Development and Validation Study.
第一作者：
Ki Young,Son
第一单位：
Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.
作者：
关键词
AI, artificial intelligenceAUC, area under the receiver operating characteristic curveArtificial intelligenceBCVA, best-corrected visual acuityCB, class-balancedCI, confidence intervalCNN, convolutional neural networkCO, cortical opacityCataractDL, deep learningDeep learningFN, false negativeFP, false positiveGCE, generalized cross-entropyGrad-CAM, gradient-weighted class activation mappingLOCS, Lens Opacities Classification SystemLens Opacities Classification System IIINC, nuclear colorNO, nuclear opalescencePSC, posterior subcapsular opacityRDN, region detection networkTN, true negativeTP, true positive
DOI
10.1016/j.xops.2022.100147
PMID
36249697
发布时间
2022-10-19
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Ophthalmology science
2022年2卷2期
100147页
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