semi-supervised-multimodal-visual-pathway-delineation
The official code for our paper 'LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation'.
https://github.com/aldiak/semi-supervised-multimodal-visual-pathway-delineation
Science Score: 26.0%
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Low similarity (3.7%) to scientific vocabulary
Repository
The official code for our paper 'LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation'.
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Metadata Files
README.md
Semi-Supervised-Multimodal-Visual-Pathway-Delineation
The official code for our ISBI paper 'LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation'.
We are sorry for the delay as we need to sort this paper code from other codes. At this point, we can only release the training file and data prep files. It is worth noting that we do not have the right to release the ground truth as it involves many collaborators. However, the HCP data used in our study can be downloaded from this address: https://www.humanconnectome.org/study/hcp-young-adult.
Owner
- Name: ALOU DIAKITE
- Login: aldiak
- Kind: user
- Twitter: AlouDiakite7
- Repositories: 1
- Profile: https://github.com/aldiak
Hi, there! I am someone who is curious about everything he see.