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Found 6 papers, 1 papers with code
Nodule detection and generation on chest X-rays: NODE21 Challenge
To address this, we organized a public research challenge, NODE21, aimed at the detection and generation of lung nodules in chest X-rays.
Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning
The optimal models were tested on 291 CXR studies with reference lung volume obtained from PFT.
Deep Learning for Chest X-ray Analysis: A Survey
Recent advances in deep learning have led to a promising performance in many medical image analysis tasks.
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis
The method is tested using a held-out test dataset of 21, 176 chest x-rays (in-distribution) and a set of 14, 821 out-of-distribution x-ray images of incorrect orientation or anatomy.
Context Encoding Chest X-rays
Chest X-rays are one of the most commonly used technologies for medical diagnosis.
Chest X-ray Inpainting with Deep Generative Models
Generative adversarial networks have been successfully applied to inpainting in natural images.
