TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays

Chest X-rays are one of the most common radiological examinations in daily clinical routines. Reporting thorax diseases using chest X-rays is often an entry-level task for radiologist trainees. Yet, reading a chest X-ray image remains a challenging job for learning-oriented machine intelligence, due...

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Vydané v:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition s. 9049 - 9058
Hlavní autori:	Wang, Xiaosong, Peng, Yifan, Lu, Le, Lu, Zhiyong, Summers, Ronald M.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2018
Predmet:	Biomedical imaging Diseases Feature extraction Task analysis Training Visualization X-rays
ISSN:	1063-6919
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