"
Designing a High-Performance Deep Learning Theoretical Model for Biomedical Image Segmentation by Using Key Elements of the Latest U-Net-Based Architectures"
written by Andreea Roxana Luca, Tudor Florin Ursuleanu, Liliana Gheorghe, Roxana Grigorovici, Stefan Iancu, Maria Hlusneac, Cristina Preda, Alexandru Grigorovici,
published by
Journal of Computer and Communications,
Vol.9 No.7, 2021
has been cited by the following article(s):
[1]
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Impact of quality, type and volume of data used by deep learning models in the analysis of medical images
Informatics in Medicine Unlocked,
2022
DOI:10.1016/j.imu.2022.100911
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[2]
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Deep Learning Application for Analyzing of Constituents and Their Correlations in the Interpretations of Medical Images
Diagnostics,
2021
DOI:10.3390/diagnostics11081373
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