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Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models
Mobina Mansoori, Sajjad Shahabodini, Farnoush Bayatmakou +3
Using massive datasets, foundation models are large-scale, pre-trained models that perform a wide range of tasks. These models have shown consistently improved results with the int…
The Missing Point in Vision Transformers for Universal Image Segmentation
Sajjad Shahabodini, Mobina Mansoori, Farnoush Bayatmakou +3
Image segmentation remains a challenging task in computer vision, demanding robust mask generation and precise classification. Recent mask-based approaches yield high-quality masks…
Integrating AI for Human-Centric Breast Cancer Diagnostics: A Multi-Scale and Multi-View Swin Transformer Framework
Farnoush Bayatmakou, Reza Taleei, Milad Amir Toutounchian +1
Despite advancements in Computer-Aided Diagnosis (CAD) systems, breast cancer remains one of the leading causes of cancer-related deaths among women worldwide. Recent breakthroughs…