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

Development and validation of a robust RNA-seq based prognostic signature in non-small cell lung cancer

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images

A linear model of lung mechanics is analyzed in the following report. The model corresponds to an RLC circuit with unknown parameters. Parametric identification allows to trace the system governance coefficients once a mathematical model has been estimated. Different approaches allow to minimize the difference between the estimated parameters an…

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.

Lung fields segmentation on tomography images using convolutional neural networks.

Source code for "Modeling the circadian regulation of the immune system: Sexually dimorphic effects of shift work".

Covid-19 Lung X-ray classification

2021/2022 sem 1 - Image Processing Individual Assignment Project - Covid detection with Lung X-rays images - Detect Covid or other diseases based on Lung X-rays images by using transfer learning of CNN.

Computer Vision with PyTorch for Medical Image Analysis

Implemented a CNN in Keras, that is trained on Lung Xrays to predict whether a patient has TB or not

Machine Learning for COVID-19 Data Analysis Project

Lung image analysis pipeline for topological PRM maps

This repository is about the COVID data and worked with CNN

Genomic Data Commons Query

Reproducibility repo for Shashikadze et al. "Multi-omics profiling of lungs from genetically diabetic pigs reveals reduced ALOX15 levels and impaired eicosanoid switching as mechanisms contributing to a proinflammatory milieu".

Models built with TensorFlow Pattern Recognition