Logg Inn
innsikt - Deep Learning for Medical Image Segmentation
MRSegmentator: A Deep Learning Model for Multi-Organ Segmentation in MRI and CT Images
MRSegmentator is a novel deep learning model that accurately and robustly segments 40 anatomical structures in both MRI and CT images, addressing the limitations of existing organ-specific approaches and offering a valuable tool for automated multi-organ segmentation in medical imaging research.
Enhanced Medical Image Segmentation with DDN and ADS
The authors propose Densely Decoded Networks (DDN) with Adaptive Deep Supervision (ADS) to improve medical image segmentation by refining dense prediction and enhancing feature extraction.
Produkter
© 2024 by Linnk AI