Benchmarking Deep Learning Models for Automatic Ultrasonic Imaging Inspection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3062860
Abstract: The success of deep neural networks in carrying out a wide variety of cognitive tasks also raised expectations regarding the advent of AI for the ultrasonic testing (UT) data interpretation in the Non-destructive evaluation (NDE)… read more here.
Keywords: models automatic; inspection; learning models; benchmarking deep ... See more keywords
Benchmarking of Deep Architectures for Segmentation of Medical Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3180435
Abstract: In recent years, there were many suggestions regarding modifications of the well-known U-Net architecture in order to improve its performance. The central motivation of this work is to provide a fair comparison of U-Net and… read more here.
Keywords: benchmarking deep; deep architectures; training; architectures segmentation ... See more keywords
Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009879
Abstract: Segmenting three-dimensional (3D) microscopy images is essential for understanding phenomena like morphogenesis, cell division, cellular growth, and genetic expression patterns. Recently, deep learning (DL) pipelines have been developed, which claim to provide high accuracy segmentation… read more here.
Keywords: microscopy; benchmarking deep; image; segmentation ... See more keywords