AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification

Kenia, R., Li, A., Srivastava, R., & Thakoor, K. A. (2025). AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification. Machine Learning for Biomedical Imaging, 3(September 2025), 402–424. https://doi.org/10.59275/j.melba.2025-8d4c
Authors:
Roshan Kenia
Anfei Li
Rishabh Srivastava
Kaveri A. Thakoor
Affiliated Authors:
Roshan Kenia
Anfei Li
Rishabh Srivastava
Kaveri A. Thakoor
Columbia Affiliation:
Subjects:
Detection and Management of Retinal Diseases (OpenAlex Topic)
Digital Imaging for Blood Diseases (OpenAlex Topic)
Global Prevalence and Treatment of Glaucoma (OpenAlex Topic)
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Publication Type:
Article
Unique ID:
10.59275/j.melba.2025-8d4c
DOI:
10.59275/j.melba.2025-8d4c
Journal:
The Journal of Machine Learning for Biomedical Imaging
Publication Date:
Data Source:
OpenAlex
Source Link:
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