Work

Feasibility study of deep-learning-based models for automated macular hole segmentation using optical coherence tomography B-scans

Year: 2025

Type: article

Source: Applied Optics

DOI: 10.1364/ao.553308

Authors: Shuyu Chen, Shenchao E, Hui Sun, Enzhong Jin, Jianfeng Wang

Institutions: Beijing Institute of Technology, Minzu University of China, University of Chinese Academy of Sciences, Peking University People's Hospital

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, Beijing Institute of Technology, Beijing Municipal Natural Science Foundation

Awards: G7184580266, 用于食道癌无创筛查的绳系OCT-拉曼光谱胶囊研发, G8127641385, G865745466

OpenAlex ID: W4409630817

FWCI: 1.056

Cites: 57

Cited by: 2

Related to: 10