Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
Objectives: To evaluate a deep convolutional neural network (dCNN) for detection, highlighting, and classification of ultrasound (US) breast lesions mimicking human decision-making according to the Breast Imaging Reporting and Data System (BI-RADS).Methods and Materials: One thousand nineteen breast...
| Publicado en: | European Radiology Vol. 29; no. 10; pp. 5458 - 5469 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |