Weakly supervised learning and interpretability for endometrial whole slide image diagnosis.

"code to achieve this is available at https://github com/mahnaz54/icaird-weaklysupervisedlearning which we believe will prove useful to the interested community as the clam method has not previously been applied to isyntax format data."

"code to achieve this is available at https://github com/mahnaz54/icaird-weaklysupervisedlearning which we believe will prove useful to the interested community as the clam method has not previously been applied to isyntax format data."

"The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article."

"Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work is supported by the Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) which is funded by Innovate UK on behalf of UK Research and Innovation (UKRI) (project number: 104690) and in part by Chief Scientist Office, Scotland."