Computer-Assisted Detection of Retinal Nerve Fiber Layer Defect on Fundus Photography with the Average Curvature of Polarimetric Image

Computer-aided diagnosis;Fundus photography;Retinal nerve fiber layer;Glaucoma;610

의과대학 의학과 ;

University:서울대학교 대학원

关键词: Computer-aided diagnosis;    Fundus photography;    Retinal nerve fiber layer;    Glaucoma;    610;   

Others  :  http://s-space.snu.ac.kr/bitstream/10371/132736/1/000000025201.pdf

美国|英语

来源: Seoul National University Open Repository

【 摘 要 】

0.639 - 0.782). The positive likelihood ratio was maximized to 1.84 with a sensitivity of 70.0% and a specificity of 62.0%. When a specificity was set to 50.0% which was minimum acceptable value, the positive likelihood ratio was determined to 1.50 with a sensitivity of 74.8%.ConclusionsThe proposed software can be an effective tool for automated detection of RNFL defect.