Method, system, and device for removing smoke from laparoscope images based on conditional diffusion model
US12376730B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2024 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Dec 18, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are a method, system, and device for removing smoke from laparoscope images based on a conditional diffusion model. The method includes: segmenting a video of a laparoscopic surgery according to the number of frames to form a data set; performing smoke rendering on the obtained laparoscope smokeless images, and synthesizing paired smoky images to obtain a synthetic data set containing the smokeless images and the smoky images; inputting the smokeless images into the conditional diffusion model for forward noise addition, and continuously adding noise until the smokeless images are completely noised; inputting the smoky images into a smoke sensing module to obtain smoke concentration and position information, then training a neural network, and continuously performing reverse denoising on the completely noised images using the trained neural network until clear smokeless images are outputted; and optimizing a smoke removal model through a multi-loss function fusion strategy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.