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Descripción
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| The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies in ML applied to medical imaging and to propose recommendations for future work in the field. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Canadian Association of Radiologists Journal-Journal de L Association Canadienne Des Radiologistes |
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ISSN
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0846-5371 |
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Factor de impacto JCR
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1,726 |
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Información de impacto
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Volumen
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70 |
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DOI
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10.1016/j.carj.2019.06.002 |
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Número de revista
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4 |
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Desde la página
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344 |
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Hasta la página
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353 |
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Mes
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SIN MES |
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Ranking
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