A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI.
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%0 Journal Article
%1 journals/bspc/WuWDRWD22
%A Wu, Yunan
%A Wu, Jing
%A Dou, Yuting
%A Rubert, Nicholas
%A Wang, Yi
%A Deng, Jie
%D 2022
%J Biomed. Signal Process. Control.
%K dblp
%N Part
%P 103319
%T A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI.
%U http://dblp.uni-trier.de/db/journals/bspc/bspc72.html#WuWDRWD22
%V 72
@article{journals/bspc/WuWDRWD22,
added-at = {2021-12-21T00:00:00.000+0100},
author = {Wu, Yunan and Wu, Jing and Dou, Yuting and Rubert, Nicholas and Wang, Yi and Deng, Jie},
biburl = {https://www.bibsonomy.org/bibtex/2b35b4bdc3059c76fffff3d20b4f9fd1b/dblp},
ee = {https://doi.org/10.1016/j.bspc.2021.103319},
interhash = {f44f4cde0c3f8591ba350b44b063ae30},
intrahash = {b35b4bdc3059c76fffff3d20b4f9fd1b},
journal = {Biomed. Signal Process. Control.},
keywords = {dblp},
number = {Part},
pages = 103319,
timestamp = {2024-04-09T02:28:38.000+0200},
title = {A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI.},
url = {http://dblp.uni-trier.de/db/journals/bspc/bspc72.html#WuWDRWD22},
volume = 72,
year = 2022
}
