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DOI: 10.14569/IJACSA.2023.01405117
PDF

RETRACTED: A Fast and Accurate Deep Learning based Approach to Measure Fetal Fat from MRI Scan Images

Author 1: Nagabotu Vimala
Author 2: Anupama Namburu

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 5, 2023.

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Abstract: After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. Retraction DOI: 10.14569/IJACSA.2023.01405117.retraction

Keywords: Fetal adipose tissue; fetal MRI; automatic segmentation; radiologist

Nagabotu Vimala and Anupama Namburu. “RETRACTED: A Fast and Accurate Deep Learning based Approach to Measure Fetal Fat from MRI Scan Images”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.5 (2023). http://dx.doi.org/10.14569/IJACSA.2023.01405117

@article{Vimala2023,
title = {RETRACTED: A Fast and Accurate Deep Learning based Approach to Measure Fetal Fat from MRI Scan Images},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.01405117},
url = {http://dx.doi.org/10.14569/IJACSA.2023.01405117},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {5},
author = {Nagabotu Vimala and Anupama Namburu}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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