Invention Application
- Patent Title: IMAGE ANALYSIS USING MACHINE LEARNING AND HUMAN COMPUTATION
-
Application No.: PCT/US2019/046233Application Date: 2019-08-12
-
Publication No.: WO2020033975A1Publication Date: 2020-02-13
- Inventor: CLARK, Corey , CSAKY, Karl
- Applicant: SOUTHERN METHODIST UNIVERSITY , RETINA FOUNDATION OF THE SOUTHWEST
- Applicant Address: P.O. Box 750132 Dallas, Texas 75275-0100 US
- Assignee: SOUTHERN METHODIST UNIVERSITY,RETINA FOUNDATION OF THE SOUTHWEST
- Current Assignee: SOUTHERN METHODIST UNIVERSITY,RETINA FOUNDATION OF THE SOUTHWEST
- Current Assignee Address: P.O. Box 750132 Dallas, Texas 75275-0100 US
- Agency: LACOMBE, Jacob L. et al.
- Priority: US62/717,681 20180810; US16/538,662 20190812
- Main IPC: G06F19/00
- IPC: G06F19/00
Abstract:
Methods, systems, and computer readable media for analyzing an image using machine learning and human computation. A method for analyzing an image includes providing, via multiple instances of an interactive application (334) for analysis of the image, multiple instances, respectively, of the image and receiving, via the interactive application, data (240) from results of analyses of the image including multiple sets of user inputs from the analyses of the multiple instances of the image, respectively. The multiple sets of user inputs are from multiple users, respectively and the multiple users are associated with the multiple instances of the interactive application, respectively. The method further includes processing the received data to identify areas of interest within the image based on the multiple sets of user inputs and analyzing the image using a machine learning algorithm (245) to identify structures in the image based on the identified areas of interest within the image.
Information query