Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study.

Objectives: To evaluate the prediction performance of deep convolutional neural network (DCNN) based on ultrasound (US) images for the assessment of breast cancer molecular subtypes.Methods: A dataset of 4828 US images from 1275 patients with primary breast cancer were used as the training samples....

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Publicado en:	European Radiology Vol. 31; no. 6; pp. 3673 - 3683
Autores principales:	Jiang, Meng, Zhang, Di, Tang, Shi-Chu, Luo, Xiao-Mao, Chuan, Zhi-Rui, Lv, Wen-Zhi, Jiang, Fan, Ni, Xue-Jun, Cui, Xin-Wu, Dietrich, Christoph F.
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Jun2021
Acceso en línea:	Ver este registro en EBSCOhost