Lung-Cancer-Detection

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.

Contributors

Priyansh Shah ● Harshil Rana ● Ishan Shah ● Manan Shah

Dataset

We have taken 50 patients as a sample dataset for training and validation. Link is available below:

Sample Dataset Images: https://drive.google.com/drive/folders/1PDCUjqEU79dCTAwPBo_57r98smGrqBXc?classId=0ee6c847-3ca4-4192-b443-6447d86cfc0a&assignmentId=412a8d4c-8b59-4916-8f99-1e2db83878ec&submissionId=85549b87-4021-0522-e776-6e20ad92f06c

Sample Dataset CSV for above images: CSV File

Output Screenshots

Demo Video

LungCancerDetection-Video.mp4