The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 02, 2021

Filed:

May. 30, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Yu Cao, Union City, CA (US);

Yufan Guo, San Jose, CA (US);

Tanveer F. Syeda-Mahmood, Cupertino, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06N 5/02 (2006.01); G06N 3/04 (2006.01); G16H 30/20 (2018.01); G06F 16/51 (2019.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G06F 16/51 (2019.01); G06N 3/04 (2013.01); G06N 5/02 (2013.01); G16H 30/20 (2018.01);
Abstract

A mechanism is provided that implements a cognitive data processing system for automatically processing ambiguously labeled data associated with a medical image. The cognitive data processing system receives an ambiguously labeled set of training data in which the ambiguously labeled set of training data comprises portions of data and associated labels, and wherein at least one portion of data in the ambiguously labeled set of training data has a plurality of different labels that together render the portion of data ambiguously labeled. The cognitive data processing system configures an implementation of a model that comprises a loss term, a maximizing term, and a sparsity term. The cognitive data processing system processes the ambiguously labeled set of training data based on the model to identifying a mapping that minimizes a loss function and thereby train the cognitive data processing system.


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