Volumetric Pancreas Segmentation on Computed Tomography: Accuracy and Efficiency of a Convolutional Neural Network Versus Manual Segmentation in 3D Slicer in the Context of Interreader Variability of Expert Radiologists.

Khasawneh, Hala; Patra, Anurima; Rajamohan, Naveen; Suman, Garima; Klug, Jason; Majumder, Shounak; Chari, Suresh T; Korfiatis, Panagiotis; Goenka, Ajit Harishkumar

Khasawneh, Hala; Patra, Anurima; Rajamohan, Naveen; Suman, Garima; Klug, Jason; Majumder, Shounak; Chari, Suresh T; Korfiatis, Panagiotis; Goenka, Ajit Harishkumar.

Afiliação

Khasawneh H; From the Department of Radiology, Mayo Clinic, Rochester, MN.
Patra A; Department of Radiology, Tata Medical Center, Kolkata, India.
Rajamohan N; From the Department of Radiology, Mayo Clinic, Rochester, MN.
Suman G; From the Department of Radiology, Mayo Clinic, Rochester, MN.
Klug J; From the Department of Radiology, Mayo Clinic, Rochester, MN.
Majumder S; Department of Gastroenterology, Mayo Clinic, Rochester, MN.
Korfiatis P; From the Department of Radiology, Mayo Clinic, Rochester, MN.
Goenka AH; From the Department of Radiology, Mayo Clinic, Rochester, MN.

J Comput Assist Tomogr ; 46(6): 841-847, 2022.

Article em En | MEDLINE | ID: mdl-36055122

Assuntos

Pâncreas; Radiologistas; Humanos; Reprodutibilidade dos Testes; Pâncreas/diagnóstico por imagem; Redes Neurais de Computação; Tomografia Computadorizada por Raios X

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pâncreas / Radiologistas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Comput Assist Tomogr Ano de publicação: 2022 Tipo de documento: Article

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