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Radiographic image interpretation by Australian radiographers: a systematic review [PDF]

Journal of Medical Radiation Sciences, 2019
Introduction Radiographer image evaluation methods such as the preliminary image evaluation (PIE), a formal comment describing radiographers’ findings in radiological images, are embedded in the contemporary radiographer role within Australia.
Andrew Murphy, Ernest Ekpo, Thomas Steffens, Michael J. Neep   +3 more
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Redosing of Fluorescein Sodium Improves Image Interpretation During Intraoperative Ex Vivo Confocal Laser Endomicroscopy of Brain Tumors [PDF]

Frontiers in Oncology, 2021
BackgroundFluorescein sodium (FNa) is a fluorescence agent used with a wide-field operating microscope for intraoperative guidance and with confocal laser endomicroscopy (CLE) to evaluate brain tissue.
Irakliy Abramov, Alexander B. Dru, Evgenii Belykh, Marian T. Park, Liudmila Bardonova, Mark C. Preul   +5 more
doaj   +2 more sources

Deep Learning Tone-Mapping and Demosaicing for Automotive Vision Systems

Sensors, 2023
High dynamic range (HDR) imaging technology is increasingly being used in automated driving systems (ADS) for improving the safety of traffic participants in scenes with strong differences in illumination.
Ana Stojkovic, Jan Aelterman, David Van Hamme, Ivana Shopovska, Wilfried Philips   +4 more
doaj   +1 more source

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Hyperspectral image (HSI) processing tasks frequently rely on spatial–spectral total variation (SSTV) to quantify the local smoothness of image structures.
Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips   +4 more
doaj   +1 more source

Super-resolution domain adaptation networks for semantic segmentation via pixel and output level aligning

Frontiers in Earth Science, 2022
Recently, unsupervised domain adaptation (UDA) has attracted increasing attention to address the domain shift problem in the semantic segmentation task.
Junfeng Wu, Zhenjie Tang, Zhenjie Tang, Congan Xu, Enhai Liu, Enhai Liu, Long Gao, Wenjun Yan   +7 more
doaj   +1 more source

A Pipelining-Based Heterogeneous Scheduling and Energy-Throughput Optimization Scheme for CNNs Leveraging Apache TVM

IEEE Access, 2023
Extracting information of interest from continuous video streams is a strongly demanded computer vision task. For the realization of this task at the edge using the current de-facto standard approach, i.e., deep learning, it is critical to optimize key ...
Delia Velasco-Montero, Bart Goossens, Jorge Fernandez-Berni, Angel Rodriguez-Vazquez, Wilfried Philips   +4 more
doaj   +1 more source

Distinctive features of nonverbal behavior and mimicry in application interviews through data analysis and machine learning

Machine Learning with Applications, 2022
This paper reveals the characteristics and effects of nonverbal behavior and human mimicry in the context of application interviews. It discloses a novel analyzation method for psychological research by utilizing machine learning.
Sanne Roegiers, Elias Corneillie, Filip Lievens, Frederik Anseel, Peter Veelaert, Wilfried Philips   +5 more
doaj   +1 more source

Cross-Domain Classification of Multisource Remote Sensing Data Using Fractional Fusion and Spatial-Spectral Domain Adaptation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Limitation of labeled samples has always been a challenge for hyperspectral image (HSI) classification. In real remote sensing applications, we encounter a situation where an HSI scene is not labeled at all.
Xudong Zhao, Mengmeng Zhang, Ran Tao, Wei Li, Wenzhi Liao, Wilfried Philips   +5 more
doaj   +1 more source

FAPI-Net: A lightweight interpretable network based on feature augmentation and prototype interpretation

Mathematical Biosciences and Engineering, 2023
With the increasing application of deep neural networks, their performance requirements in various fields are increasing. Deep neural network models with higher performance generally have a high number of parameters and computation (FLOPs, Floating Point
Xiaoyang Zhao, Xinzheng Xu, Hu Chen, Hansang Gu, Zhongnian Li   +4 more
doaj   +1 more source

Images on Halaf Pottery from Syria

Вестник Кемеровского государственного университета, 2022
Pottery marked the advent of the agricultural revolution, transition to sedentary life, and a new era of intellectual development. Man used pottery to communicate important ideas in symbolic form.
F. Majar
doaj   +1 more source