METHOD AND SYSTEM OF BUILDING HOSPITAL-SCALE CHEST X-RAY DATABASE FOR ENTITY EXTRACTION AND WEAKLY-SUPERVISED CLASSIFICATION AND LOCALIZATION OF COMMON THORAX DISEASES
The United States of America; Department of Health and Human Servic; as represented by the Secretary
发明人:
Xiaosong Wang,Yifan Peng,Le Lu,Zhiyong Lu,Ronald M. Summers
申请号：
US16495012
公开号：
US20200093455A1
申请日:
2018.03.26
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A new chest X-ray database, referred to as “ChestX-ray8”, is disclosed herein, which comprises over 100,000 frontal view X-ray images of over 32,000 unique patients with the text-mined eight disease image labels (where each image can have multi-labels), from the associated radiological reports using natural language processing. We demonstrate that these commonly occurring thoracic diseases can be detected and spatially-located via a unified weakly supervised multi-label image classification and disease localization framework, which is validated using our disclosed dataset.
