ivadomed/ms-lesion-agnostic
Deep Learning contrasts "agnostic" tool for MS lesion segmentation in the spinal cord
PythonMIT
Issues
- 18
- 5
Creation of the MP2RAGE dataset from Rennes
#33 opened by plbenveniste - 12
Training of an nnUNet model
#27 opened by plbenveniste - 11
Dataset aggregation
#1 opened by plbenveniste - 7
- 4
Evaluating existing SCT models
#34 opened by plbenveniste - 10
Update of Bavaria-quebec dataset
#17 opened by plbenveniste - 8
- 1
- 30
- 19
- 21
Create a git-annex repo for data from `basel/4031_MRI_T2_MRAGE_24patients_CGM`
#19 opened by plbenveniste - 3
Training of a MEDNEXT model
#31 opened by plbenveniste - 5
- 5
Look for axial T2/T2* images
#26 opened by plbenveniste - 13
Create a git-annex repo for data from NYU
#15 opened by plbenveniste - 2
Thresholding of the predictions
#32 opened by plbenveniste - 0
- 8
- 1
LiDAR TOF TDC GT21 MS1005
#24 opened by ShanLan12 - 0
Remove karo subjects from sct-testing-large
#22 opened by plbenveniste - 4
- 3
Manual segmentation of MS lesions in the spinal cord to be reviewed by neuroradiologist
#4 opened by plbenveniste - 0
Update QC report command and JSON standard in lesion segmentation protocol
#13 opened by plbenveniste - 3
nnUNet training for MS lesion seg
#2 opened by plbenveniste - 5
Training Results for YOLO Lesion Detection
#8 opened by cspino - 3
Validation of YOLO detection results
#11 opened by cspino - 1
Data pre-processing for YOLO detection model
#3 opened by cspino - 1
Region-based nnUNet training
#7 opened by plbenveniste