2 citations · 5 across the 4 of their papers we have counts for
5 papers
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…
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model
Mobina Mansoori, Sajjad Shahabodini, Jamshid Abouei +2
Early diagnosis and treatment of polyps during colonoscopy are essential for reducing the incidence and mortality of Colorectal Cancer (CRC). However, the variability in polyp char…
Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection
Mobina Mansoori, Sajjad Shahabodini, Jamshid Abouei +2
Polyp segmentation plays a crucial role in the early detection and diagnosis of colorectal cancer. However, obtaining accurate segmentations often requires labor-intensive annotati…
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images
Mobina Mansoori, Sajjad Shahabodini, Jamshid Abouei +2
Digital pathology involves converting physical tissue slides into high-resolution Whole Slide Images (WSIs), which pathologists analyze for disease-affected tissues. However, large…