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DIAGNijmegen
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pathology-whole-slide-data
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
https://diagnijmegen.github.io/pathology-whole-slide-data/
Apache License 2.0
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Feature/inst norm albu
#15
thijsgelton
closed
2 years ago
0
RegistrantNotRegisteredError in Tiger-Hooknet Example
#14
AmartyaCSB
closed
2 years ago
2
Feature/inst norm albu
#13
thijsgelton
closed
2 years ago
0
Refactor/parsing
#12
martvanrijthoven
closed
2 years ago
0
enhance shape and spacing error messages
#11
kaczmarj
closed
2 years ago
1
how to calculate number of samples in one full pass of BatchIterator
#10
kaczmarj
closed
2 years ago
1
Feature/create yaml from folders
#9
thijsgelton
closed
2 years ago
0
Feature/albumentation callback
#8
thijsgelton
closed
2 years ago
4
Added colors to both the parsing and converting (groups and annotation)
#7
thijsgelton
closed
2 years ago
3
weighted sampling of patches based on different labels for segmentation
#6
Vishwesh4
closed
2 years ago
2
write tests
#5
martvanrijthoven
opened
2 years ago
0
improve writing checks in write_mask
#4
martvanrijthoven
closed
1 year ago
0
Feature writing
#3
martvanrijthoven
closed
2 years ago
0
Copy_data_path freezes upon first trial
#2
CyrilRJK
closed
3 years ago
1
create deterministic pause/restart functionality iterator
#1
martvanrijthoven
closed
1 year ago
0
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