https://github.com/tg1482/mri-brain-tumor-detection
Repo containing code for EfficientNet3D implementation of 3D-CNN for brain tumor detection for Kaggle competition hosted in the summer of 2021
https://github.com/tg1482/mri-brain-tumor-detection
ai cnn deep-learning medical-image-analysis video-classification
Last synced: 8 months ago
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Repo containing code for EfficientNet3D implementation of 3D-CNN for brain tumor detection for Kaggle competition hosted in the summer of 2021
- Host: GitHub
- URL: https://github.com/tg1482/mri-brain-tumor-detection
- Owner: tg1482
- Created: 2021-08-09T04:24:29.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-10-21T04:14:23.000Z (almost 4 years ago)
- Last Synced: 2025-01-11T10:18:31.596Z (9 months ago)
- Topics: ai, cnn, deep-learning, medical-image-analysis, video-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 3.35 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# MRI_RCNN
Repo for adding code related to Kaggle's RSNA-MICCAI Brain Tumor Radiogenomic Classification Competition.
Uses EfficientNet3D to input (1, 4, 64, 256, 256) data to output binary class for presence of MGMT mutation or not. Binary classification problem.
Will add more details shortly.