The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.

Visual Analysis of Lung Segmentation using the U-NET Architecture on the Montgomery dataset

Few-shot learning project: Semantic segmentation of COVID-19 infection in CT scans

Deep learning models to lung lesion segmentation & classification on CT slices with pytorch.

George Mason University: DAEN Capstone project Spring 2021

COVID-19 Lung Infection Segmentation from CT Images

This repository is dedicated to the scoring of lung diseases, where we propose a two-step workflow used for segmentation and scoring of lung diseases, including COVID-19

This repository uses preprocessing technics such as image growing and erosion and dilation to crop the lungs from chest X-ray images.

Tensorflow based training, inference and feature engineering pipelines used in OSIC Kaggle Competition

Small version of the U-Net architecture, implemented in PyTorch. (Can be trained without significant computing resources)

Keypoint-based lung fissure segmentation with Geometric Convolutional Networks (Master's Thesis)

A deep learning approach to fight COVID virus. This model uses CNN with transfer learning to detect if a person is infected with COVID by looking at the lung X-Ray and further it segments the infected region of lungs producing a mask using U-Net

Lung tumor segmentation with the UNet model.

This is a project of the Google Developer Student Club of FPT University Da Nang, built by members, and entered the TOP 10 finalists at the FPT Edu Hackathon 2021 in Hanoi, Vietnam.

3D Segmentation of Lungs on CT

A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.

Lung Segmentation

Lung Masking/Segmentation from Chest X-Rays using a custom modified lightweight U-Net Architecture,

Deep Learning Project which help us to identify a Person is Covid or non-Covid and Segment the Infection in the Lungs.