Development and validation of a 3-D deep learning system for diabetic macular oedema classification on optical coherence tomography images

Development and validation of a 3-D deep learning system for diabetic macular oedema classification on optical coherence tomography images

Objectives To develop and validate an automated diabetic macular oedema (DME) classification system based on the images from different three-dimensional optical coherence tomography (3-D OCT) devices.Design A multicentre, platform-based development study using retrospective and cross-sectional data....

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Main Authors: Mingzhi Zhang, Tsz Kin Ng, Yi Zheng, Guihua Zhang, Jian-Wei Lin, Ji Wang, Jie Ji, Peiwen Xie, Yongqun Xiong, Hanfu Wu, Cui Liu, Huishan Zhu, Jinqu Huang, Leixian Lin
Format: Article
Language:English
Published: BMJ Publishing Group 2025-05-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/15/5/e099167.full
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https://bmjopen.bmj.com/content/15/5/e099167.full

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