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Radiomics and Deep Learning in Brain Metastases: Current Trends and Roadmap to Future Applications
Investigative Magnetic Resonance Imaging ; : 266-280, 2021.
Article in English | WPRIM | ID: wpr-914753
ABSTRACT
Advances in radiomics and deep learning (DL) hold great potential to be at the forefront of precision medicine for the treatment of patients with brain metastases.Radiomics and DL can aid clinical decision-making by enabling accurate diagnosis, facilitating the identification of molecular markers, providing accurate prognoses, and monitoring treatment response. In this review, we summarize the clinical background, unmet needs, and current state of research of radiomics and DL for the treatment of brain metastases. The promises, pitfalls, and future roadmap of radiomics and DL in brain metastases are addressed as well.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: English Journal: Investigative Magnetic Resonance Imaging Year: 2021 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: English Journal: Investigative Magnetic Resonance Imaging Year: 2021 Type: Article