Popular GitHub Repositories for Lung

BCDU-Net : Medical Image Segmentation

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

Lung segmentation for chest X-Ray images

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.

??? This one stop project is a complete COVID-19 detection package comprising of 3 tasks: ? Task 1 --> COVID-19 Classification ? Task 2 --> COVID-19 Infection Segmentation ? Task 3 --> Lung Segmentation

3D NAS for Pulmonary Nodules Classification, PR 2021

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

The code to finetune SAM with bounding box prompt for segmentation of the lungs on CT

Lung Nodules Segmentation from CT scans using CNN.

Repository processes CT scanned images of human Lungs , which are in DICOM image format. Visualises the data in 3D and trains a 3D convolution network on the data after preprocessing.

Automatically segment lung cancer in CTs

An attempt at tumor segmentation with UNET and SegNet on the lung tumor dataset from the Medical Decathlon data.

Lung Cancer Prediction using Machine Learning Algorithms

Image Segmentation using OpenCV (and Deep Learning)

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.

Multiple Disease Prediction System

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%.

Reimplementation of the PLS-Net architecture used for lung lobe segmentation in CT