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Automated characterisation of ultrasound images of ovarian tumours: the diagnostic accuracy of a support vector machine and image processing with a local binary pattern operator

Introduction: Preoperative characterisation of ovarian masses into benign or malignant is of paramount importance to optimise patient management. Objectives: In this study, we developed and validated a computerised model to characterise ovarian masses as benign or malignant. Materials and methods: T...

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Detalles Bibliográficos
Autores principales: Khazendar, S., Sayasneh, A., Al-Assam, H., Du, H., Kaijser, J., Ferrara, L., Timmerman, D., Jassim, S., Bourne, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Universa Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4402446/
https://www.ncbi.nlm.nih.gov/pubmed/25897367

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