Editorial
Expression of Concern: Optimising Deep Neural Networks for Tumour Diagnosis Algorithms Based on Improved MRFO Algorithm
@ARTICLE{10.4108/eetpht.11.12768, author={Binbin Han and Fuliang Zhang and Zhenyun Chang and Fang Feng}, title={Expression of Concern: Optimising Deep Neural Networks for Tumour Diagnosis Algorithms Based on Improved MRFO Algorithm}, journal={EAI Endorsed Transactions of Pervasive Health and Technology}, volume={11}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2024}, month={4}, keywords={}, doi={10.4108/eetpht.11.12768} }- Binbin Han
Fuliang Zhang
Zhenyun Chang
Fang Feng
Year: 2024
Expression of Concern: Optimising Deep Neural Networks for Tumour Diagnosis Algorithms Based on Improved MRFO Algorithm
PHAT
EAI
DOI: 10.4108/eetpht.11.12768
Abstract
We, the publisher, are issuing an expression of concern about Binbin Han et al. (2024) Optimising Deep Neural Networks for Tumour Diagnosis Algorithms Based on Improved MRFO Algorithm. https://doi.org/10.4108/eetpht.10.5147 There is a concern over the integrity of the peer review review process and suspected manipulation of the editorial process. The investigation is ongoing and we advise scholars to exercise caution when referencing this manuscript.
Copyright © 2024 B. Han et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
