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:
Jan. 16, 2024

Filed:

Jul. 07, 2018
Applicants:

University of Louisville Research Foundation, Inc., Louisville, KY (US);

Science and Technology Development Fund, Cairo, EG;

Inventors:

Ayman S. El-Baz, Louisville, KY (US);

Ahmed Soliman, Louisville, KY (US);

Moumen El-Melegy, Assuit, EG;

Mohamed Abou El-Ghar, El Mansoura, EG;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/11 (2017.01); G06N 20/20 (2019.01); G06N 3/08 (2023.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); G06N 20/20 (2019.01); G06T 7/11 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Methods for segmenting medical images from different modalities include integrating a plurality of types of quantitative image descriptors with a deep 3D convolutional neural network. The descriptors include: (i) a Gibbs energy for a prelearned 7th-order Markov-Gibbs random field (MGRF) model of visual appearance, (ii) an adaptive shape prior model, and (iii) a first-order appearance model of the original volume to be segmented. The neural network fuses the computed descriptors to obtain the final voxel-wise probabilities of the goal regions.


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