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Pathological Diagnosis of Adult Craniopharyngioma on MR Images: An Automated End-to-End Approach Based on Deep Neural Networks Requiring No Manual Segmentation

Purpose: The goal of this study was to develop end-to-end convolutional neural network (CNN) models that can noninvasively discriminate papillary craniopharyngioma (PCP) from adamantinomatous craniopharyngioma (ACP) on MR images requiring no manual segmentation. Materials and methods: A total of 97...

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Detalles Bibliográficos
Autores principales:	Teng, Yuen, Ran, Xiaoping, Chen, Boran, Chen, Chaoyue, Xu, Jianguo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782822/ https://www.ncbi.nlm.nih.gov/pubmed/36556097 http://dx.doi.org/10.3390/jcm11247481

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