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

Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".

[MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans

This project is an end-to-end deep learning pipeline for lung cancer detection using 3D CT scan data.

YOLOv5-CASP for lung nodule detection in CT, chest X-ray, and MRI. Achieves mAP 0.382 on LUNA16 (+79%) and 0.809 on X-Nodule (+278%) with zero false positives. Real-time inference at 71 FPS.

Lung nodule detection Docker dependencies

异构加速的肺结节检测系统（2025FPGA大赛国三作品）