DIAGNijmegen/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.
PythonApache-2.0
Issues
- 5
add conda recipe
#53 opened by sarthakpati - 1
- 1
mask to xml/json overhaul
#48 opened by JoeySpronck - 4
Support qptiff?
#47 opened by yuling-luo - 4
- 3
- 1
- 1
- 2
create_batch_iterator fails when copy_path != None and number_of_batches > 0
#39 opened by robinlomans - 2
from wholeslidedata.source.configuration.config import insert_paths_into_config
#40 opened by ZhangRan24 - 2
- 0
- 3
Installing package on local machine
#35 opened by PierpaoloV - 1
- 1
write docs
#20 opened by martvanrijthoven - 0
write tests
#5 opened by martvanrijthoven - 0
improve writing checks in write_mask
#4 opened by martvanrijthoven - 2
Strict sampling with `point_sampler` fails when using data with different level 0 spacings
#31 opened by leandervaneekelen - 6
Sliding Window configuration
#30 opened by michelbotros - 9
Sliding window with Segmentation Mask Sampling
#23 opened by Vishwesh4 - 1
AsapAnnotationParser label colors from group
#29 opened by robinlomans - 9
read images and annotation directly from s3 bucket
#24 opened by rj678 - 7
Tissue masking
#26 opened by michelbotros - 1
plot_annotations plots everything flipped
#27 opened by michelbotros - 2
- 4
changing image backend to pyvips
#21 opened by 99snowleopards - 3
- 4
Artifacts from batch iterator
#18 opened by sumeetgadagkar - 2
- 1
- 2
- 1
Copy_data_path freezes upon first trial
#2 opened by CyrilRJK