Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network

PURPOSE: To assess feasibility of training a convolutional neural network (CNN) to automate liver segmentation across different imaging modalities and techniques used in clinical practice and to apply this technique to enable automation of liver biometry. MATERIALS AND METHODS: A two-dimensional U-N...

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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Wang, Kang, Mamidipalli, Adrija, Retson, Tara, Bahrami, Naeim, Hasenstab, Kyle, Blansit, Kevin, Bass, Emily, Delgado, Timoteo, Cunha, Guilherme, Middleton, Michael S., Loomba, Rohit, Neuschwander-Tetri, Brent A., Sirlin, Claude B., Hsiao, Albert
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2019
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Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7314107/
https://ncbi.nlm.nih.gov/pubmed/32582883
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019180022
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