Decoding the molecular subtypes of breast cancer seen on multimodal ultrasound images using an assembled convolutional neural network model: A prospective and multicentre study
Background: Preoperative determination of breast cancer molecular subtypes facilitates individualized treatment plan-making and improves patient prognosis. We aimed to develop an assembled convolutional neural network (ACNN) model for the preoperative prediction of molecular subtypes using multimoda...
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Auteurs principaux: | , , , , , , , , , , |
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Format: | article |
Langue: | EN |
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Elsevier
2021
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Accès en ligne: | https://doaj.org/article/29369f25cc1f4b5fa9bd98e9c1b2f059 |
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