Differentiation of breast lesions on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using deep transfer learning based on DenseNet201

In order to achieve better performance, artificial intelligence is used in breast cancer diagnosis. In this study, we evaluated the efficacy of different fine-tuning strategies of deep transfer learning (DTL) based on the DenseNet201 model to differentiate malignant from benign lesions on breast dyn...

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Detalles Bibliográficos
Autores principales: Meng, Mingzhu, Zhang, Ming, Shen, Dong, He, Guangyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
5750
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666147/
https://www.ncbi.nlm.nih.gov/pubmed/36397422
http://dx.doi.org/10.1097/MD.0000000000031214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666147/
https://www.ncbi.nlm.nih.gov/pubmed/36397422
http://dx.doi.org/10.1097/MD.0000000000031214

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