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Measurement of the irregular retinal lesion area based on the back propagation neural network method / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation ; (6): 411-417, 2010.
Article in Chinese | WPRIM | ID: wpr-330549
ABSTRACT
In this study, the automatic segmentation of the irregular lesion region in the image of fundus fluorescence angiography was actualized by means of the modified Back Propagation (BP) neural network method. Combining the transfer scaling coefficient between pixel of the image and the actual size, the area of the irregular lesion region was measured. The results may provide valuable data for the clinical diagnosis, treatment and prognostic evaluation.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Pathology / Retinal Diseases / Algorithms / Fluorescein Angiography / Diagnosis / Methods / Nerve Net Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2010 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Pathology / Retinal Diseases / Algorithms / Fluorescein Angiography / Diagnosis / Methods / Nerve Net Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2010 Type: Article