Search Results for author:
Found 4 papers, 0 papers with code
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning
Deep learning has now become the de facto approach to the recognition of anomalies in medical imaging.
Chest X-ray Report Generation through Fine-Grained Label Learning
Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals.
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays
Chest X-rays are the most common diagnostic exams in emergency rooms and hospitals.
Bimodal network architectures for automatic generation of image annotation from text
The source of big data is typically large image collections and clinical reports recorded for these images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
