ACCP-MC-U-Net: Automatic Corpus Callosum Parcellation from brain MRI scans using MultiClass U-Net
Author:
Affiliation:
1. Université de Tunis El Manar,Institut Supérieur d’Informatique, Research Team on Intelligent Systems in Imaging and Artificial Vision (SIIVA),Ariana,Tunisia,2080
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10310305/10310314/10310386.pdf?arnumber=10310386
Reference16 articles.
1. Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging
2. Automatic DTI-based parcellation of the corpus callosum through the watershed transform
3. Self-learning and One-Shot Learning Based Single-Slice Annotation for 3D Medical Image Segmentation
4. Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans
5. Contribution of Callosal Connections to the Interhemispheric Integration of Visuomotor and Cognitive Processes
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