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https://github.com/mkang315/RCS-YOLO
[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
https://github.com/mkang315/RCS-YOLO
br35h-brain-tumor-detection-2020 brain-tumor-detection computer-vision convolutional-neural-networks deep-learning deep-neural-networks medical-image-analysis medical-image-computing medical-image-dataset medical-image-detection medical-image-processing object-detection panet reparameterization repconv-model repvgg-model shufflenet vovnet yolo
Last synced: 14 days ago
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[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
- Host: GitHub
- URL: https://github.com/mkang315/RCS-YOLO
- Owner: mkang315
- License: gpl-3.0
- Created: 2023-05-26T02:05:04.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-27T12:39:05.000Z (3 months ago)
- Last Synced: 2024-08-27T13:58:24.006Z (3 months ago)
- Topics: br35h-brain-tumor-detection-2020, brain-tumor-detection, computer-vision, convolutional-neural-networks, deep-learning, deep-neural-networks, medical-image-analysis, medical-image-computing, medical-image-dataset, medical-image-detection, medical-image-processing, object-detection, panet, reparameterization, repconv-model, repvgg-model, shufflenet, vovnet, yolo
- Language: Python
- Homepage:
- Size: 253 MB
- Stars: 67
- Watchers: 4
- Forks: 10
- Open Issues: 11
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Metadata Files:
- Readme: README.md
- License: LICENSE