https://github.com/EIDOSLAB/UNITOPATHO

Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198
https://github.com/EIDOSLAB/UNITOPATHO

cancer data health histopathological-image histopathology histopathology-images medical-image-processing medical-images neural-networks

Last synced: 3 months ago
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Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198

• Host: GitHub
• URL: https://github.com/EIDOSLAB/UNITOPATHO
• Owner: EIDOSLAB
• License: mit
• Created: 2021-02-09T10:09:02.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-05-18T14:53:57.000Z (over 1 year ago)
• Last Synced: 2024-07-28T19:25:45.792Z (4 months ago)
• Topics: cancer, data, health, histopathological-image, histopathology, histopathology-images, medical-image-processing, medical-images, neural-networks
• Language: Jupyter Notebook
• Homepage: https://ieee-dataport.org/open-access/unitopatho
• Size: 3.18 MB
• Stars: 28
• Watchers: 3
• Forks: 5
• Open Issues: 1

Awesome Lists containing this project

• awesome-pathology - UNITOPATHO - A labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading. (Data / Datasets)