System and method of scribble based segmentation for medical imaging using machine learning
US12046356B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Jan 19, 2022 |
| Grant date | Jul 23, 2024 |
| Priority date | — |
| Expiry date | Jan 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method generating an optimized medical image using a machine learning model are provided. The method includes (i) receiving one or more medical images, (ii) segmenting to generate a transformed medical image for detecting a plurality of target elements, (iii) displaying the transformed medical image, (iv) receiving markings and scribblings associated with scribble locations from a user, (v) identifying errors associated with an outline of a target element, (vi) computing a loss function for a location of pixels where the target element is located on the transformed medical image, (vii) modifying the pre-defined weights (w) to match the segmentation output and the determined target element, (viii) determining whether the segmentation output is matched with the target element and (ix) generating the optimized medical image if the segmentation output is matched with the determined target element.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.