Identifying diabetes from conjunctival images using a novel hierarchical multi-task network.
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ABSTRACT:
SUBMITTER: Li X
PROVIDER: S-EPMC8742044 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Publications
Identifying diabetes from conjunctival images using a novel hierarchical multi-task network.
Li Xinyue X Xia Chenjie C Li Xin X Wei Shuangqing S Zhou Sujun S Yu Xuhui X Gao Jiayue J Cao Yanpeng Y Zhang Hong H
Scientific reports 20220107 1
Diabetes can cause microvessel impairment. However, these conjunctival pathological changes are not easily recognized, limiting their potential as independent diagnostic indicators. Therefore, we designed a deep learning model to explore the relationship between conjunctival features and diabetes, and to advance automated identification of diabetes through conjunctival images. Images were collected from patients with type 2 diabetes and healthy volunteers. A hierarchical multi-tasking network mo ...[more]
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