Popular GitHub Repositories for Lung Cancer Detection

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Diseases Detection from NIH Chest X-ray data

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

Lung Nodules Segmentation from CT scans using CNN.

The model is based on a YOLOv8 (Deep learning Neural network architecture) and is trained on the publicly available dataset, which consists of lung CT scans of patients with and without lung cancer.

Develop a machine learning (ML) model for lung cancer detection using U-Net and DenseNet architectures. Achieve an accuracy of at least 99.96% in lung nodule detection and classification. Achieved validation of 99.9%.

This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.