A loss-based patch label denoising method for improving whole-slide image analysis using a convolutional neural network
Crossref DOI link: https://doi.org/10.1038/s41598-022-05001-8
Published Online: 2022-01-26
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ashraf, Murtaza
Robles, Willmer Rafell QuiƱones
Kim, Mujin
Ko, Young Sin
Yi, Mun Yong
Text and Data Mining valid from 2022-01-26
Version of Record valid from 2022-01-26
Article History
Received: 25 March 2021
Accepted: 5 January 2022
First Online: 26 January 2022
Competing interests
: The authors declare no competing interests.