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fk128
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sarcopenia-ai
Code for paper Kanavati, F. et al. (2020). Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment. arXiv preprint arXiv:2006.06432.
https://arxiv.org/abs/2006.06432
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only train the segmentation model with my own dataset
#14
Sara666-LI
opened
1 year ago
0
Hi, great detection and segmentation tools. But I wonder if I can only use the segment model on my own test data? If yes, then what the input dataset should be for the segment model? one slice image or set of slice images? I see there are two arguments 'images_path' and 'image_list' in the tester.py, what is the meaning of these two path/folder? Could you give some samples on how to test the pre-trained model on our own dataset?
#13
Sara666-LI
closed
1 year ago
1
Update requirements.txt
#12
fk128
closed
1 year ago
0
Slice detection training axis error (out of bound)
#11
scat2801
closed
1 year ago
1
Pin midatasets version
#10
fk128
closed
1 year ago
0
midatasets python / Pandas compatibility error
#9
Niradnik
closed
1 year ago
1
Docker issue with tensorflow
#8
alanlhutchison
opened
1 year ago
3
TensorFlow version issue
#7
alanlhutchison
closed
1 year ago
1
little confused about BCELOSS
#6
xu-peng-7
opened
2 years ago
0
Fix a link to training data in README
#5
notmatthancock
closed
2 years ago
0
Empty slice locations in linked data
#4
notmatthancock
closed
2 years ago
3
Segmentation
#3
chocosando
opened
3 years ago
1
Failed to load the native TensorFlow runtime.
#2
agdestine
closed
4 years ago
1
No segmentation.cfg
#1
an-na-m
closed
4 years ago
3