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Is your feature request related to a problem? Please describe.
Kidney disease, also known as renal disease, affects millions of people worldwide and can lead to serious health complications if not diagnosed and treated early. Early detection of kidney disease is crucial for effective management and prevention of complications. However, diagnosing kidney disease typically involves complex medical tests and examinations, making it challenging for individuals to identify potential issues early on.
Describe the solution you'd like
This project aims to develop an automated kidney detection system using CT Scan images and deep learning techniques.Various deep learning models, including CNNs and transfer learning architectures like VGG16, ResNet50, and DenseNet, will be explored to identify the most effective approach. The models will be trained and evaluated using metrics such as accuracy, precision, recall, and AUC-ROC to ensure robustness and generalizability.
Describe alternatives you've considered
No response
Additional context
No response
Code of Conduct
I agree to follow this project's Code of Conduct
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Is your feature request related to a problem? Please describe.
Kidney disease, also known as renal disease, affects millions of people worldwide and can lead to serious health complications if not diagnosed and treated early. Early detection of kidney disease is crucial for effective management and prevention of complications. However, diagnosing kidney disease typically involves complex medical tests and examinations, making it challenging for individuals to identify potential issues early on.
Describe the solution you'd like
This project aims to develop an automated kidney detection system using CT Scan images and deep learning techniques.Various deep learning models, including CNNs and transfer learning architectures like VGG16, ResNet50, and DenseNet, will be explored to identify the most effective approach. The models will be trained and evaluated using metrics such as accuracy, precision, recall, and AUC-ROC to ensure robustness and generalizability.
Describe alternatives you've considered
No response
Additional context
No response
Code of Conduct
The text was updated successfully, but these errors were encountered: