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Projects in Awesome Lists tagged with chest-xrays

A curated list of projects in awesome lists tagged with chest-xrays .

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: 15 Jun 2025

https://github.com/xinario/chestviewsplit

Automatically split the chest x-ray into two views

chest-xrays classification medical-imaging pytorch

Last synced: 01 Mar 2026

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

[ACL 2025] ⚖️ Temporally-aware MLLM for Biomedical Radiology Analysis and Report Generation. Flexible toolkit with LLM backbone support, real-time validation, training resumption, and smart model saving.

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

Last synced: 29 Jun 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: 09 Jul 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/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: 30 Oct 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: 13 Apr 2026

https://github.com/x-izhang/rrg-bionlp-acl2024

[ACL 2024] 🔬 Med-CXRGen, developed by Glasgow AI4BioMed Lab, brings vision-language adaptation to biomedical radiology via visual instruction tuning.

ai4science chest-xrays medical-image-analysis multimodal-large-language-models radiology-report-generation report-generator vicuna-7b vision-language-model

Last synced: 15 Mar 2026

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/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

Last synced: 12 May 2026

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/noorulhudaajmal/chest-cancer-classification-using-mlflow

End to end chest cancer classification project using MLflow.

aws-ec2 chest-xrays cnn-classification github-actions mlflow mlops

Last synced: 05 Feb 2026