Method for predicting the recurrence of a lesion by image analysis
US12357232B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2021 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | Jul 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The invention relates to a method for evaluating in post-treatment an ablation of a portion of an anatomy of interest of an individual, the anatomy of interest comprising at least one lesion. The post-treatment evaluation method comprises in particular a step of automatically evaluating a risk of recurrence of the lesion of the anatomy of interest of the individual based on the analysis of a pair of pre-operative and post-operative medical images of the anatomy of interest of the individual by means of automatic learning method of the neural network type, said method being preloaded during a so-called training phase on a database comprising a plurality of pairs of medical images of an anatomy of interest identical to a plurality of individuals, each medical image pair of the database being associated with a recurrence status of a lesion of the anatomy of interest of said patient. The invention also relates to an electronic device comprising a processor and a computer memory storing instructions of such an evaluation method.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.