Projects in Awesome Lists tagged with chest-xrays

https://github.com/bowang-lab/medrax

MedRAX: Medical Reasoning Agent for Chest X-ray

agent agentic-ai agentic-framework chest-xray chest-xrays healthcare langchain medical medical-imaging reasoning-agent

Last synced: 15 May 2025

https://github.com/bowang-lab/MedRAX

MedRAX: Medical Reasoning Agent for Chest X-ray

agent agentic-ai agentic-framework chest-xray chest-xrays healthcare langchain medical medical-imaging reasoning-agent

Last synced: 01 Apr 2025

https://github.com/pdpino/medical-ai

Code used for the MLMI 2021 paper Clinically Correct Report Generation from Chest X-Rays Using Templates

chest-xrays medical-report-generation

Last synced: 20 Mar 2025

https://github.com/xinario/chestviewsplit

Automatically split the chest x-ray into two views

chest-xrays classification medical-imaging pytorch

Last synced: 25 Apr 2025

https://github.com/zwimpee/CXResnet

Chest X-Ray Image classification using PyTorch.

chest-xrays model-architecture

Last synced: 10 May 2025

https://github.com/aim-harvard/cxr-lung-risk

Deep learning to estimate lung-related mortality from chest radiographs.

chest-xray-images chest-xrays deep-learning image-analysis medical-imaging risk-prediction

Last synced: 20 Nov 2024

https://github.com/basedrhys/ood-generalization

Code for the paper "When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations"

chest-xray-images chest-xrays computer-vision healthcare machine-learning

Last synced: 15 Feb 2025

https://github.com/x-izhang/libra

Code for the paper "Libra: Leveraging Temporal Images for Biomedical Radiology Analysis"

ai4science chest-xrays llama3 medical-image-analysis multimodal-large-language-models radiology-report-generation vision-language-model

Last synced: 10 Apr 2025

https://github.com/coderjolly/chest-x-ray-classification

This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.

ablation-study chest-xrays grad-cam-visualization python pytorch t-sne transfer-learning x-ray-classification

Last synced: 27 Mar 2025

https://github.com/basedrhys/non-roi-masking

Evaluation of non-ROI masking to improve OOD generalization in chest x-ray disease classification

chest-xrays classification medical-data medical-imaging ood-generalization

Last synced: 10 Apr 2025

https://github.com/steveee27/chest-x-ray-lung-disease-classification

A Flask-based web application for classifying chest X-ray images into 15 different lung disease categories. The application includes Grad-CAM visualization to highlight areas of the X-ray that contribute to the model's predictions.

artificial-intelligence chest-xrays deep-learning gradcam-visualization transfer-learning

Last synced: 11 Apr 2025

https://github.com/mohammad95labbaf/lung-segmentation

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.

chest-xray-images chest-xrays cnn cnn-keras convolutional-neural-networks deep-learning deep-neural-networks deeplearning depthwise-separable-convolutions depthwiseseparableconvolution lung-disease lung-segmentation segment segmentation x-ray-images