Measuring Efficiency of Semi-automated Brain Tumor Segmentation by Simulating User Interaction.

Gering, David; Kotrotsou, Aikaterini; Young-Moxon, Brett; Miller, Neal; Avery, Aaron; Kohli, Lisa; Knapp, Haley; Hoffman, Jeffrey; Chylla, Roger; Peitzman, Linda; Mackie, Thomas R

Gering, David; Kotrotsou, Aikaterini; Young-Moxon, Brett; Miller, Neal; Avery, Aaron; Kohli, Lisa; Knapp, Haley; Hoffman, Jeffrey; Chylla, Roger; Peitzman, Linda; Mackie, Thomas R.

Afiliação

Gering D; HealthMyne Inc., Madison, WI, United States.
Kotrotsou A; HealthMyne Inc., Madison, WI, United States.
Young-Moxon B; HealthMyne Inc., Madison, WI, United States.
Miller N; HealthMyne Inc., Madison, WI, United States.
Avery A; HealthMyne Inc., Madison, WI, United States.
Kohli L; HealthMyne Inc., Madison, WI, United States.
Knapp H; HealthMyne Inc., Madison, WI, United States.
Hoffman J; HealthMyne Inc., Madison, WI, United States.
Chylla R; HealthMyne Inc., Madison, WI, United States.
Peitzman L; HealthMyne Inc., Madison, WI, United States.
Mackie TR; HealthMyne Inc., Madison, WI, United States.

Front Comput Neurosci ; 14: 32, 2020.

Article em En | MEDLINE | ID: mdl-32372938

Palavras-chave

brain MRI; deep learning; efficiency; glioma; segmentation; tumor

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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