Apparent Diffusion Coefficient-Based Convolutional Neural Network Model Can Be Better Than Sole Diffusion-Weighted Magnetic Resonance Imaging to Improve the Differentiation of Invasive Breast Cancer From Breast Ductal Carcinoma In Situ

BACKGROUND AND PURPOSE: Breast ductal carcinoma in situ (DCIS) has no metastatic potential, and has better clinical outcomes compared with invasive breast cancer (IBC). Convolutional neural networks (CNNs) can adaptively extract features and may achieve higher efficiency in apparent diffusion coeffi...

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Detalles Bibliográficos
Autores principales: Yin, Haolin, Jiang, Yu, Xu, Zihan, Huang, Wenjun, Chen, Tianwu, Lin, Guangwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795910/
https://www.ncbi.nlm.nih.gov/pubmed/35096609
http://dx.doi.org/10.3389/fonc.2021.805911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795910/
https://www.ncbi.nlm.nih.gov/pubmed/35096609
http://dx.doi.org/10.3389/fonc.2021.805911

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