Basic of machine learning and deep learning in imaging for medical physicists
| Autor: | Luca Bottazzi, N. Maffei, Lidia Strigari, Luigi Manco, S. Strolin, Sara Vichi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Diagnostic Imaging
Information retrieval Query string business.industry Computer science Deep learning Biophysics General Physics and Astronomy General Medicine Automation 030218 nuclear medicine & medical imaging Machine Learning Clinical Practice Medical physicist 03 medical and health sciences Deep Learning 0302 clinical medicine Artificial Intelligence 030220 oncology & carcinogenesis Radiology Nuclear Medicine and imaging Artificial intelligence business Algorithms |
| Zdroj: | Physica Medica. 83:194-205 |
| ISSN: | 1120-1797 |
| Popis: | The manuscript aims at providing an overview of the published algorithms/automation tool for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed using the query string to identify the proposed approaches (algorithms/automation tools) for artificial intelligence (machine and deep learning) in a 5-year period. The distribution of manuscript in the various disciplines and the investigated image types according to the AI approaches are presented. The limitation and opportunity of AI application in the clinical practice or in the next future research is discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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