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https://github.com/wahidpanda/kideny-stone-detection-ml
https://github.com/wahidpanda/kideny-stone-detection-ml
deep-neural-networks kidney kidney-disease kidney-disease-prediction machine-learning
Last synced: about 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/wahidpanda/kideny-stone-detection-ml
- Owner: wahidpanda
- Created: 2023-01-31T12:26:01.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-14T15:09:16.000Z (12 months ago)
- Last Synced: 2024-01-14T20:45:12.341Z (12 months ago)
- Topics: deep-neural-networks, kidney, kidney-disease, kidney-disease-prediction, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 114 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
The most frequent ailment today is kidney stones. The condition must be correctly diagnosed in order to be treated and live a healthy lifestyle. The identification of kidney stones using several imaging modalities is proposed. a deep learning-based automated approach for identifying kidney stones. An open-source dataset of computed tomography (CT) images is used in the studies. These datasets have been designed to function with deep learning models. Gradient-weighted Class Activation Mapping is used to identify the kidney stone's location. Email me at [email protected] for the data set.
dataset : https://drive.google.com/file/d/1v0fJZPBXsHj3Fn66GTjbCEYdkVwn_yOT/view?usp=sharing
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