Methods and systems for hierarchical machine learning models for medical imaging
US10679753B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 20, 2018 |
| Grant date | Jun 9, 2020 |
| Priority date | — |
| Expiry date | Sep 14, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems and methods are provided relating to hierarchical machine learning models to identify an anatomical structure of interest and perform diagnostic procedures for a medical diagnostic imaging system. The systems and methods organize a plurality of models into a hierarchical structure based on anatomical structures. The plurality of models are defined by a machine learning algorithm for diagnostic procedures of one or more of the anatomical structures. The systems and methods receive a medical image, identifying an anatomical structure of interest within the medical image, select at least a first model from the plurality of models based on the anatomical structure of interest, and perform a first diagnostic procedure of the anatomical structure of interest based on the first model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.