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Clinical application of machine learning in radiation oncology / 中华放射医学与防护杂志
Article in Zh | WPRIM | ID: wpr-884491
Responsible library: WPRO
ABSTRACT
Radiation therapy is one of the main treatment methods for cancer. Machine learning can be used in all aspects of clinical practice in radiation therapy, including clinical decision support, automatic segmentation of target volumes, prediction of treatment efficacy and side effects. Despite the challenges of lacking structured data and poor interpretability of models, the application of machine learning in radiotherapy will become increasingly profound and extensive. This review contains three aspects: introduction of machine learning, the clinical application of machine learning in radiotherapy, challenges and solutions.
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Radiological Medicine and Protection Year: 2021 Type: Article
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Radiological Medicine and Protection Year: 2021 Type: Article