3 papers
physics.med-ph2026
A Green Solution for Breast Region Segmentation Using Deep Active Learning
Sam Narimani, Solveig Roth Hoff, Kathinka Dæhli Kurz +3
Purpose: Annotation of medical breast images is an essential step toward better diagnostic but a time consuming task. This research aims to focus on different selecting sample stra…
cs.CV2025
Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance
Sam Narimani, Solveig Roth Hoff, Kathinka Dahli Kurz +3
Purpose: Segmentation of the breast lesion in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an essential step to accurately diagnose and plan treatment and moni…
eess.IV2024
Comparative Analysis of Deep Learning Architectures for Breast Region Segmentation with a Novel Breast Boundary Proposal
Sam Narimani, Solveig Roth Hoff, Kathinka Dæhli Kurz +3
Purpose: Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for the automatic measurement of breast density and the qu…