METHODS AND APPARATUS FOR CHARACTERIZATION OF TISSUE SAMPLES

Patent №

US 7,309,867

Granted

2007-12-18

Filed 2003

Owner

MEDISPECTRA, INC.

+5 more

Lab

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10418668

The invention provides methods for determining the probability that a given region of a tissue sample contains tissue of a given category, such as CIN 1 (cervical intraepithelial neoplasia, grade 1), CIN 2/3 (cervical intraepithelial neoplasia grades 2 and/or 3), normal squamous, normal columnar, and metaplasia, for example. The invention provides increased diagnostic accuracy by combining a plurality of statistical classification techniques. Furthermore, in one embodiment, the invention comprises combining one or more statistical techniques with one or more non-statistical classification techniques.

Machine learningVisionG01N 21/31A61B 5/0059A61B 5/7203A61B 5/7264A61B 5/725A61B 5/7257A61B 5/7267G16H 50/20

AI classification

Vision1.00
Machine learning0.99
Knowledge representation0.13
AI hardware0.10
Natural language0.04
Evolutionary computation0.03
Planning0.01
Speech0.00

Ownership

MEDISPECTRA, INC.

assignment · 142340557

EUCLIDSR PARTNERS, LP, COLLATERAL AGENT

assignment · 258750910

EUCLIDSR PARTNERS, L.P.

assignment · 258750936

EUCLIDSR BIOTECHNOLOGY PARTNERS, L.P.

assignment · 258750936

EUCLIDSR PARTNERS IV, L.P.

assignment · 258750936

LUMA IMAGING CORPORATION

assignment · 258750956

Assignors

DRAAYER, BRET F., COSTA, PETER J., SUM, STEPHEN T., FLEWELLING, ROSS F., SCHOMACKER, KEVIN T., SCHOTT, JEAN-PIERRE

On an employer assignment, the assignors are typically the inventors.

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