ChatFFA: An ophthalmic chat system for unified vision-language understanding and question answering for fundus fluorescein angiography-Reference-Cited by-同舟云学术

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ChatFFA: An ophthalmic chat system for unified vision-language understanding and question answering for fundus fluorescein angiography

Published:2024-07 Issue:7 Volume:27 Page:110021
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Chen Xiaolan,Xu Pusheng,Li Yao^ORCID,Zhang Weiyi,Song Fan,He Mingguang,Shi Danli^ORCID

Funder

The Hong Kong Polytechnic University

Publisher

Elsevier BV

Reference34 articles.

1. Ophthalmic diagnosis using deep learning with fundus images–A critical review;Sengupta;Artif. Intell. Med.,2020

2. Imaging diabetic retinal disease: clinical imaging requirements;Schreur;Acta Ophthalmol.,2022

3. Automatic interpretation and clinical evaluation for fundus fluorescein angiography images of diabetic retinopathy patients by deep learning;Gao;Br. J. Ophthalmol.,2023

4. Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning;Pan;Graefe's Archive for Clinical and Experimental Ophthalmology,2020

5. EyeGPT: Ophthalmic Assistant with Large Language Models;Chen;arXiv,2024

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unveiling the clinical incapabilities: a benchmarking study of GPT-4V(ision) for ophthalmic multimodal image analysis;British Journal of Ophthalmology;2024-05-24

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