chest-x-ray 开源项目推荐（38 个）

v7labs /covid-19-xray-dataset

12000+ 手动绘制的像素级肺部分割，有无新冠

ekagra-ranjan /AE-CNN

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

VITA-Group /LongTailCXR

[DALI 2022]《胸部X光长尾病分类：一项新的基准研究》，作者：Gregory Holste、Song Wang、Ziyu Jiang、Thomas C. Shen、Ronald M. Summers、Yifan Peng 和 Zhangyang Wang

mk-runner /FSE

[ESWA'26] Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation

diaoquesang /A-detailed-summarization-about-bone-suppression-in-Chest-X-rays

Bone suppression in chest X-rays: A deep survey. ℱℯℯ𝓁 𝒻𝓇ℯℯ to contribute!

MLD3 /Deep-Learning-Applied-to-Chest-X-rays-Exploiting-and-Preventing-Shortcuts

[MLHC 2020] Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts (Jabbour, Fouhey, Kazerooni, Sjoding, Wiens). https://arxiv.org/abs/2009.10132

mkldhz /Pneumonia-Detection-from-Chest-X-ray-Using-Convolutional-Neural-Network

Detecting Pneumonia from Chest X-ray using a Convolutional Neural Network

adinathdukre /RADAR-TB

RADAR: Acquisition-Adversarial Attention Pooling over a Frozen Chest-Radiograph Foundation Model for Tuberculosis Screening (MICCAI 2026 TREAT-MMTB)

Yangxinyee /Q-DISTILL

Q-DISTILL: Bridging the Multimodal Information Gap in Chest X-ray Triage via Self-Supervised Q-Former Distillation

Ayushikamishra02 /pediatric-pneumonia-cnn

Educational project exploring pediatric pneumonia classification from chest X-rays with a calibrated, robust, and explainable CNN.

agon07x /mlvicx

Official implementation of MLVICX, a novel self-supervised learning approach for chest X-ray representation learning. This method captures rich embeddings through multi-level variance and covariance exploration, preserving both fine-grained details and broader contextual information.

Vaibhav007-star /Chest-X-Ray-Pneumonia-Detector-with-Explainability

Deep learning pneumonia detection on chest X-rays with Grad-CAM visual explainability, PyTorch, and an interactive Streamlit diagnostic interface.

anondo1969 /SHAMSUL

Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'

anondo1969 /lrp-grad_cam-chexpert

Repository for the 'best student paper award' winning paper at the IEEE 35th International Symposium on Computer Based Medical Systems (CBMS 2022), Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography, Mahbub Ul Alam, Jón Rúnar Baldvinsson and Yuxia Wang. https://doi.org/10.11…

Yangxinyee /vrm-edge-triage

Variational Risk Minimization (VRM) for chest X-ray triage: multimodal teacher-student distillation with BiomedCLIP and EVA-X for edge deployment

OldBonhart /MedRadService

AI application on Django 2 - "MedRadService"

ali-vosoughi /VerifyGRPO-Rad

Unmentioned checklist findings change how RL appears to improve chest radiograph report checking (arXiv:2610.05425): image-use evaluation and GRPO post-training with verifiable rewards, open-weight VLMs

bibek376 /Covid_19_Detection_Using_Deep_Learning

A project About Covid-19 Detection Using Various Deep Learning Algo.

Linwei-Chen /chest-x-ray-research-atlas

从弱标签基准、视觉语言模型到真实临床效益的可审计全景｜48 项记录

FirasKahlaoui /pneumo-xai

Explainable AI for pneumonia detection from chest X-rays using deep learning and Grad-CAM visual explanations.