#chest x-ray
4 papers · 1 filter
Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging
Yiheng Xiong, Luisa Gallée, Luisa Gallée +4
The paper introduces a label‑free criterion that automatically selects the best unsupervised domain adaptation algorithm and its hyperparameters for medical imaging by comparing ca…
Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data
Yogisri Pujitha Chinthoti
The study evaluates classical texture (GLCM) and gradient (HOG) features with standard classifiers to distinguish COVID-19 from other pneumonia on a public chest X‑ray dataset, ach…
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models
Nand Lal Yadav, Rajesh Kumar, Satyendra Singh +1
The paper evaluates deep convolutional neural networks (VGG16, VGG19, and ResNet50) for classifying lung diseases such as pneumonia, tuberculosis, and lung cancer from chest X‑ray…
Reconfigurable Radiology Labels Without Relabeling
Jean-Benoit Delbrouck, Dave Van Veen, Akash Pattnaik +4
The paper introduces a pipeline that converts free‑text chest X‑ray reports into multi‑label matrices, enabling rapid reconfiguration of label schemas without re‑annotating the ent…