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Automatic segmentation of bladder cancer on MRI using a convolutional neural network and reproducibility of radiomics features: a two-center study

This study aimed to develop a versatile automatic segmentation model of bladder cancer (BC) on MRI using a convolutional neural network and investigate the robustness of radiomics features automatically extracted from apparent diffusion coefficient (ADC) maps. This two-center retrospective study use...

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Detalles Bibliográficos
Autores principales:	Moribata, Yusaku, Kurata, Yasuhisa, Nishio, Mizuho, Kido, Aki, Otani, Satoshi, Himoto, Yuki, Nishio, Naoko, Furuta, Akihiro, Onishi, Hiroyuki, Masui, Kimihiko, Kobayashi, Takashi, Nakamoto, Yuji
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837183/ https://www.ncbi.nlm.nih.gov/pubmed/36635425 http://dx.doi.org/10.1038/s41598-023-27883-y

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