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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Publicat a:Radiol Artif Intell
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Radiological Society of North America 2019
Matèries:
Original Research
Accés en línia: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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