Tehran University of Medical Sciences

Science Communicator Platform

Faculty Members have conducted research related to the A Comprehensive Framework for Multi-Class Breast Lesion Classification Using a Gaussian Process-Optimized Vgg16-Capsule Hybrid Model on Ultrasound Radio Frequency B-Mode Images
Ala Torabi
Ala Torabi

Assistant Professor of Radiology

Department Radiology

School of Medicine

Shariati Hospital

Tehran University of Medical Sciences

Related Documents
1. Vit-Resnet Assessment of Breast Density From Mri, 2025 7th International Conference on Pattern Recognition and Image Analysis, IPRIA 2025 (2025)
2. Fibroglandular Tissue Classification in Breast Mri: A Comparative Study of Automated Decision Strategies, 2026 International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities, IICAI 2026 (2026)
All Documents
2. Fibroglandular Tissue Classification in Breast Mri: A Comparative Study of Automated Decision Strategies, 2026 International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities, IICAI 2026 (2026)
7. Vit-Resnet Assessment of Breast Density From Mri, 2025 7th International Conference on Pattern Recognition and Image Analysis, IPRIA 2025 (2025)