https://github.com/pavankumarshridhar31/renalpathnet-cnn-based-classification-of-ct-kidney-images-for-tumor-cyst-stone-and-normal-findings

This project employs Convolutional Neural Networks (CNNs) to classify CT kidney images into distinct categories, including Tumor, Cyst, Stone, and Normal findings. The dataset, meticulously curated from PACS in Dhaka, Bangladesh, encompasses 12,446 radiologically verified images.
https://github.com/pavankumarshridhar31/renalpathnet-cnn-based-classification-of-ct-kidney-images-for-tumor-cyst-stone-and-normal-findings

Last synced: about 1 month ago
JSON representation

This project employs Convolutional Neural Networks (CNNs) to classify CT kidney images into distinct categories, including Tumor, Cyst, Stone, and Normal findings. The dataset, meticulously curated from PACS in Dhaka, Bangladesh, encompasses 12,446 radiologically verified images.

• Host: GitHub
• URL: https://github.com/pavankumarshridhar31/renalpathnet-cnn-based-classification-of-ct-kidney-images-for-tumor-cyst-stone-and-normal-findings
• Owner: Pavankumarshridhar31
• Created: 2023-12-21T12:53:41.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-20T16:28:32.000Z (2 months ago)
• Last Synced: 2024-10-20T19:32:06.743Z (2 months ago)
• Language: Jupyter Notebook
• Size: 1.73 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# RenalPathNet-CNN-based-Classification-of-CT-Kidney-Images-for-Tumor-Cyst-Stone-and-Normal-Findings

This project employs Convolutional Neural Networks (CNNs) to classify CT kidney images into distinct categories, including Tumor, Cyst, Stone, and Normal findings. The dataset, meticulously curated from PACS in Dhaka, Bangladesh, encompasses 12,446 radiologically verified images, achieving 99% accuracy

"Dataset link: https://drive.google.com/file/d/1OT7_6UUE9RhVDmenlGevq3e0G4oOs6Kp/view?usp=drive_link"