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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Détails bibliographiques
Publié dans:Radiol Artif Intell
Auteurs principaux: 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
Langue:Inglês
Publié: Radiological Society of North America 2019
Sujets:
Original Research
Accès en ligne: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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