This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model. Using a data set of thousands of high-resolution lung scans, this model will accurately determine when lesions in the lungs are cancerous. This will dramatically reduce the false positive rate that plagues the current detection technology, get patients earlier access to life-saving interventions, and give radiologists more time to spend with their patients.
Priyansh Shah ● Harshil Rana ● Ishan Shah ● Manan Shah
We have taken 50 patients as a sample dataset for training and validation. Link is available below:
Sample Dataset Images: https://qnm8.sharepoint.com/:f:/g/Ep5GUq573mVHnE3PJavB738Bevue4plkiXyNkYfxHI-a-A?e=UVMWne
Sample Dataset CSV for above images: CSV File
LungCancerDetection-Video.mp4
Stroke Blood Clot Classification: https://github.com/Priyansh42/Stroke-Blood-Clot-Classification
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent