Noninvasive assessment of breast cancer molecular subtypes on multiparametric MRI using convolutional neural network with transfer learning

Autor:	Haolin Yin, Lutian Bai, Huihui Jia, Guangwu Lin
Rok vydání:	2022
Předmět:	Machine Learning Pulmonary and Respiratory Medicine Oncology Humans Female Breast Neoplasms Neural Networks Computer General Medicine Multiparametric Magnetic Resonance Imaging Retrospective Studies
Zdroj:	Thoracic Cancer. 13:3183-3191
ISSN:	1759-7714 1759-7706
Popis:	To evaluate the performances of multiparametric MRI-based convolutional neural networks (CNNs) for the preoperative assessment of breast cancer molecular subtypes.A total of 136 patients with 136 pathologically confirmed invasive breast cancers were randomly divided into training, validation, and testing sets in this retrospective study. The CNN models were established based on contrast-enhanced TFor the separation of each subtype from other subtypes on the testing set, the TT
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d18d599ab1173c003ee6f988f54443e7 https://doi.org/10.1111/1759-7714.14673 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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