Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysis

Bhandari, A; Marwah, R; Smith, Justin; Nguyen, Duy; Bhatti, Asim; Lim, Chee Peng; Lasocki, A

Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysis

journal contribution

posted on 2024-06-19, 12:14 authored by A Bhandari, R Marwah, Justin Smith, Duy Nguyen, Asim BhattiAsim Bhatti, Chee Peng Lim, A Lasocki

Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysis

History

Journal

Journal of Medical Imaging and Radiation Oncology

Volume

66

Pagination

781-797

Location

London, Eng.

ISSN

1754-9477

eISSN

1754-9485

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Issue

6

Publisher

Wiley

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Keywords

ACCURACY BIAS CRITERIA FEATURES Life Sciences & Biomedicine PSEUDOPROGRESSION Radiology, Nuclear Medicine & Medical Imaging RADIONECROSIS RADIOSURGERY RECURRENCE RESPONSE ASSESSMENT RISK Science & Technology

Licence

CC BY 4.0

Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysis

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