Work

Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model

Year: 2018

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2018.12.013

Authors: Rongbin Xu, Sijie Niu, Qiang Chen, Zexuan Ji, Daniel Rubin, Yuehui Chen

Institutions: University of Jinan, Nanjing University of Science and Technology, Stanford Medicine, Stanford University

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Shandong Province, National Key Research and Development Program of China

Awards: G4211514189, G5557252171, 基于光学相干断层图像的老年黄斑变性分析若干关键技术研究, G6773877639, G745962575

OpenAlex ID: W2908101484

FWCI: 1.891

Cites: 41

Cited by: 30

Related to: 10