Applications and limitations of machine learning in radiation oncology
Machine learning approaches to problem-solving are growing rapidly within healthcare, and radiation oncology is no exception. With the burgeoning interest in machine learning comes the significant risk of misaligned expectations as to what it can and cannot accomplish. This paper evaluates the role...
| Autors principals: | , , , |
|---|---|
| Format: | Journal article |
| Publicat: |
British Institute of Radiology
2019
|