MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans
Accurate segmentation of gastric tumors is critical yet presents a formidable challenge in
medical imaging, where conventional UNet-based frameworks, despite their prevalence …
medical imaging, where conventional UNet-based frameworks, despite their prevalence …
Self-learning for 3D segmentation of medical images from single and few-slice annotation
C Lassarat - 2023 - diva-portal.org
Training deep-learning networks to segment a particular region of interest (ROI) in 3D
medical acquisitions (also called volumes) usually requires annotating a lot of data …
medical acquisitions (also called volumes) usually requires annotating a lot of data …