Artificial Intelligence in Neuro-Oncologic Imaging: A Brief Review for Clinical Use Cases and Future Perspectives
Brain Tumor Research and Treatment
;
: 69-75, 2022.
Artigo
em Inglês
| WPRIM
| ID: wpr-925661
ABSTRACT
The artificial intelligence (AI) techniques, both deep learning end-to-end approaches and radiomics with machine learning, have been developed for various imaging-based tasks in neuro-oncology. In this brief review, use cases of AI in neuro-oncologic imaging are summarized image quality improvement, metastasis detection, radiogenomics, and treatment response monitoring. We then give a brief overview of generative adversarial network and potential utility of synthetic images for various deep learning algorithms of imaging-based tasks and image translation tasks as becoming new data input. Lastly, we highlight the importance of cohorts and clinical trial as a true validation for clinical utility of AI in neuro-oncologic imaging.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Idioma:
Inglês
Revista:
Brain Tumor Research and Treatment
Ano de publicação:
2022
Tipo de documento:
Artigo
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