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Artificial Intelligence and Monte Carlo Simulation
| Content Provider | Scilit |
|---|---|
| Author | Sarrut, D. Krah, N. |
| Copyright Year | 2021 |
| Description | Artificial intelligence (AI) and in particular deep neural networks (DNN) have become a major and powerful methodological actor to learn statistical properties and correlation in the past years. The main domain driving this evolution is the computer vision field. However, it can be observed that Monte Carlo (MC) simulation is heavily statistically driven and deals with a lot of data. It thus seems quite natural that DNN could play a role in that field. Indeed, some works are currently emerging. Book Name: Monte Carlo Techniques in Radiation Therapy |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003211846-20&type=chapterpdf |
| Ending Page | 258 |
| Page Count | 8 |
| Starting Page | 251 |
| DOI | 10.1201/9781003211846-20 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-10-01 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Monte Carlo Techniques in Radiation Therapy Neural Evolution Intelligence Monte Carlo Heavily |
| Content Type | Text |
| Resource Type | Chapter |
