Open AccessDesigning a High-Performance Deep Learning Theoretical Model for Biomedical Image Segmentation by Using Key Elements of the Latest U-Net-Based Architectures
Author(s) -
Andreea Roxana Luca,
Tudor Florin Ursuleanu,
Liliana Gheorghe,
Roxana Grigorovici,
Stefan Iancu,
Maria Hlusneac,
Cristina Preda,
Alexandru Grigorovici
Publication year - 2021
Publication title -
journal of computer and communications
Language(s) - English
Resource type - Journals
eISSN - 2327-5227
pISSN - 2327-5219
DOI - 10.4236/jcc.2021.97002
Subject(s) - computer science , deep learning , segmentation , artificial intelligence , convolutional neural network , key (lock) , image segmentation , machine learning , pattern recognition (psychology) , computer security
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