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

• Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 9049 - 9058
• Main Authors: Wang, Xiaosong, Peng, Yifan, Lu, Le, Lu, Zhiyong, Summers, Ronald M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2018
• Subjects: Biomedical imaging; Diseases; Feature extraction; Task analysis; Training; Visualization; 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...