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GitHub / iolag / UPD_study
This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iolag%2FUPD_study
Stars: 22
Forks: 6
Open Issues: 0
License: None
Language: Python
Repo Size: 669 MB
Dependencies:
48
Created: about 2 years ago
Updated: 3 months ago
Last pushed: 2 months ago
Last synced: 13 days ago
Topics: anomaly-detection, anomaly-detection-models, anomaly-localization, anomaly-segmentation, brain-mri, chest-xray-images, deep-learning, retinal-fundus-images
Files
Dependencies
- albumentations ==1.2.1
- argparse ==1.4.0
- beautifulsoup4 ==4.11.1
- blessings ==1.7
- cachetools ==5.2.0
- cython ==0.29.30
- cython-bbox ==0.1.3
- filelock ==3.8.0
- freia ==0.2
- functorch ==0.1.1
- gdrive ==0.1.5
- google-api-core ==2.8.2
- google-api-python-client ==2.43.0
- google-auth ==2.11.0
- google-auth-httplib2 ==0.1.0
- google-auth-oauthlib ==0.5.2
- googleapis-common-protos ==1.56.4
- gpustat ==0.6.0
- gshell ==5.6.1
- httplib2 ==0.20.4
- jeepney ==0.8.0
- jsonschema ==3.2.0
- lap ==0.4.0
- llvmlite ==0.39.0
- motmetrics ==1.1.3
- numba ==0.56.0
- nvidia-ml-py3 ==7.352.0
- oauthlib ==3.2.0
- opencv-python-headless ==4.6.0.66
- progressbar2 ==4.0.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pycocotools ==2.0.4
- pydicom-seg ==0.4.0
- python-utils ==3.2.3
- qudida ==0.0.4
- requests-oauthlib ==1.3.1
- rsa ==4.9
- secretstorage ==3.3.3
- setuptools ==59.6.0
- soupsieve ==2.3.2.post1
- timm ==0.5.4
- torchgeometry ==0.1.2
- torchinfo ==1.7.0
- torchsummary ==1.5.1
- uritemplate ==4.1.1
- versioneer ==0.23
- vimeo-downloader ==0.3.3