2 papers
cs.CV2025
F3-Net: Foundation Model for Full Abnormality Segmentation of Medical Images with Flexible Input Modality Requirement
Seyedeh Sahar Taheri Otaghsara, Reza Rahmanzadeh
F3-Net is a foundation model designed to overcome persistent challenges in clinical medical image segmentation, including reliance on complete multimodal inputs, limited generaliza…
cs.CV2025
Multi-encoder nnU-Net outperforms transformer models with self-supervised pretraining
Seyedeh Sahar Taheri Otaghsara, Reza Rahmanzadeh
This study addresses the essential task of medical image segmentation, which involves the automatic identification and delineation of anatomical structures and pathological regions…