Three-dimensional delineation of tumor boundaries via supervised machine learning algorithms and augmented reality
US12100141B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2021 |
| Grant date | Sep 24, 2024 |
| Priority date | — |
| Expiry date | Apr 26, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H20/40
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Techniques that facilitate three-dimensional (3D) delineation of tumor boundaries via one or more supervised machine learning algorithms are provided. An example embodiment includes a computer-implemented method that includes: extracting, by a computing system operatively coupled to a processor, one or more feature vectors from a time-series evolution of fluorescence distribution observed at a section of bodily tissue of interest, wherein the one or more feature vectors represent a physical model describing on-tissue dye dynamics of the section of bodily tissue; and generating, by the computing system, a classification attribute for the section of bodily tissue represented by the one or more feature vectors, wherein a pre-trained classifier designates the section of bodily tissue as a biopsy or a non-biopsy candidate through execution of the one or more supervised machine learning algorithms.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.