Applied Explainable Artificial Intelligence (XAI) in the classification of retinal images for support in the diagnosis of Glaucoma
Author:
Affiliation:
1. Universidade Federal de São João del-Rei, Brazil
2. Universidade Federal de São Paulo, Brazil
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3617023.3617026
Reference33 articles.
1. Interpretable Machine Learning Tools: A Survey
2. Deep Learning for Weak Supervision of Diabetic Retinopathy Abnormalities
3. An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography
4. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
5. Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification
Cited by 2 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. Artificial Intelligence in Glaucoma: A New Landscape of Diagnosis and Management;Journal of Clinical & Translational Ophthalmology;2024-05-25
2. Impact of Clinical Features on Disease Diagnosis Using Knowledge Graph Embedding and Machine Learning: A Detailed Analysis;Communications in Computer and Information Science;2024
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