Assistance of Artificial Intelligence in Diagnosis of Vitreoretinal Lymphoma on Optical Coherence Tomography

Assistance of Artificial Intelligence in Diagnosis of Vitreoretinal Lymphoma on Optical Coherence Tomography

Vitreoretinal lymphoma (VRL) remains a diagnostic challenge due to its scarce prevalence, and delayed diagnosis usually results in blindness and even fatal outcomes. Herein, an artificial intelligence (AI) system is developed to identify VRL among 16 retinal diseases and conditions on optical cohere...

Full description

Saved in:
Bibliographic Details
Main Authors: Aidi Lin, Yuanyuan Peng, Tian Lin, Jun Dai, Jizhu Li, Tingkun Shi, Xixuan Ke, Xulong Liao, Danqi Fang, Man Chen, Huiyu Liang, Shirong Chen, Honghe Xia, Jingtao Wang, Zehua Jiang, Tao Li, Dan Liang, Shanshan Yu, Jing Luo, Ling Gao, Dawei Sun, Yih Chung Tham, Xinjian Chen, Haoyu Chen
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Advanced Intelligent Systems
Subjects:
artificial intelligence
few‐shot learning
meta‐learning
optical coherence tomography
vitreoretinal lymphoma
Online Access:https://doi.org/10.1002/aisy.202400500
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/aisy.202400500

Similar Items