Systems and Methods for Automated Diagnosis of Disease Related Risk Factors in 3D Biomedical Imaging
Application
US20260100267A1
Kind: A1
Apr 09, 2026
Assignee
The Regents of the University of California
Inventors
Oren Avram, Berkin Durmus, Nadav Rakocz, Jeffrey Chiang, Srinivas Sadda, Eran Halperin
Abstract
Deep learning methods and systems for detecting biomarkers within volumetric biomedical imaging dataset using such deep learning methods and systems are provided. Embodiments predict the clinically useful biomarkers in optical coherent tomography images, ultrasound images, magnetic resonance imaging images, and computed tomography images using deep neural networks.
CPC Classifications
G16H 30/40
G06N 3/045
G06N 20/00
G06V 10/774
G16H 50/20
G16H 50/30
G16H 50/70
Filing Date
2024-02-14
Application No.
19156782