Prediction of the mean transit time using machine learning models based on radiomics features from digital subtraction angiography in moyamoya disease or moyamoya syndrome—a development and validation model study

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Bibliographic Details
Published in	Cardiovascular diagnosis and therapy Vol. 13; no. 5; pp. 879 - 892
Main Authors	Qin, Kun, Guo, Zhige, Peng, Chao, Gan, Wu, Zhou, Dong, Chen, Guangzhong
Format	Journal Article
Language	English
Published	AME Publishing Company 31.10.2023
Subjects	Original
Online Access	Get full text

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Bibliography:	These authors contributed equally to this work. Contributions: (I) Conception and design: K Qin, G Chen; (II) Administrative support: C Peng, W Gan, Z Guo; (III) Provision of study materials or patients: D Zhou, Z Guo; (IV) Collection and assembly of data: K Qin, C Peng; (V) Data analysis and interpretation: K Qin, Z Guo; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.
ISSN:	2223-3652 2223-3660
DOI:	10.21037/cdt-23-151