DeepMedSeg- Deep Learning for Medical Image Segmentation
Alejandro J. Girón et al.
Medical image segmentation—the process of partitioning digital images into distinct anatomical or pathological regions—is a critical step in clinical workflows, including tumor volume estimation, treatment planning, and disease progression monitoring. Manual segmentation by radiologists is time consuming, prone to inter-observer variability, and increasingly impractical given the rising volume of medical imaging data (MRI, CT, and Ultrasound). This project aims to develop and evaluate a deep lea