源语言 | 英语 |
---|---|
文章编号 | 106375 |
期刊 | Computer Methods and Programs in Biomedicine |
卷 | 210 |
DOI | |
出版状态 | 已出版 - 10月 2021 |
!!!ASJC Scopus Subject Areas
- 软件
- 卫生信息学
- 计算机科学应用
指纹
探究 'Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images' 的科研主题。它们共同构成独一无二的指纹。引用此
Hoar, D., Lee, P. Q., Guida, A., Patterson, S., Bowen, C. V., Merrimen, J., Wang, C., Rendon, R., Beyea, S. D., & Clarke, S. E. (2021). Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images. Computer Methods and Programs in Biomedicine, 210, 文章 106375. https://doi.org/10.1016/j.cmpb.2021.106375