most citedBuilding a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2020

A robust network architecture to detect normal chest X-ray radiographs

Ken C. L. Wong, Mehdi Moradi, Joy Wu +10

We propose a novel deep neural network architecture for normalcy detection in chest X-ray images. This architecture treats the problem as fine-grained binary classification in whic…

cs.CV2019★ 1 cited

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays

Tanveer Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari +9

Chest X-rays are the most common diagnostic exams in emergency rooms and hospitals. There has been a surge of work on automatic interpretation of chest X-rays using deep learning a…