A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method

This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma from leiomyoma through a supervised machine-learning method using multi-parametric MRI. A total of 65 participants with 105 myometrial tumors were included: 84 benign and 21 malignant lesions (belonge...

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Detalles Bibliográficos
Autores principales: Malek, Mahrooz, Tabibian, Elnaz, Rahimi Dehgolan, Milad, Rahmani, Maryam, Akhavan, Setareh, Sheikh Hasani, Shahrzad, Nili, Fatemeh, Hashemi, Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198618/
https://www.ncbi.nlm.nih.gov/pubmed/32366933
http://dx.doi.org/10.1038/s41598-020-64285-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198618/
https://www.ncbi.nlm.nih.gov/pubmed/32366933
http://dx.doi.org/10.1038/s41598-020-64285-w

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