METHOD AND SYSTEM OF BUILDING HOSPITAL-SCALE CHEST X-RAY DATABASE FOR ENTITY EXTRACTION AND WEAKLY-SUPERVISED CLASSIFICATION AND LOCALIZATION OF COMMON THORAX DISEASES
Patent №
US 11,583,239
Granted
2023-02-21
Filed 2019
Owner
THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES
Lab
—
AI components
5
ml · nlp · vision · speech · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16495012
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.
AI classification
Ownership
THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES
assignment · 504040671
Assignors
WANG, XIAOSONG, PENG, YIFAN, LU, LE, LU, ZHIYONG, SUMMERS, RONALD M.
On an employer assignment, the assignors are typically the inventors.