Results 41 to 50 of about 791,315 (305)

Multi-Time-Scale Features for Accurate Respiratory Sound Classification

Applied Sciences, 2020
The COVID-19 pandemic has amplified the urgency of the developments in computer-assisted medicine and, in particular, the need for automated tools supporting the clinical diagnosis and assessment of respiratory symptoms.
Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Ester Pantaleo, Sabina Tangaro, Roberto Bellotti   +5 more
doaj   +1 more source

Improving the Performance of Convolutional Neural Networks by Fusing Low-Level Features With Different Scales in the Preceding Stage

IEEE Access, 2021
The width of convolutional neural networks (CNNs) is crucial for improving performance. Many wide CNNs use a convolutional layer to fuse multiscale features or fuse the preceding features to subsequent features.
Xiaohong Yu, Wei Long, Yanyan Li, Xiaoqiu Shi, Lin Gao   +4 more
doaj   +1 more source

An automated pattern recognition system for classifying indirect immunofluorescence images for HEp-2 cells and specimens [PDF]

, 2016
Immunofluorescence antinuclear antibody tests are important for diagnosis and management of autoimmune conditions; a key step that would benefit from reliable automation is the recognition of subcellular patterns suggestive of different diseases.
Akbar, Shazia, Manivannan, Siyamalan, Li, Wenqi, Zhang, Jianguo, McKenna, Stephen J., Wang, Ruixuan, McKenna, Stephen J.; id_orcid   +6 more
core   +1 more source

Deep Multi-Scale Features Learning for Distorted Image Quality Assessment

, 2021
Image quality assessment (IQA) aims to estimate human perception based image visual quality. Although existing deep neural networks (DNNs) have shown significant effectiveness for tackling the IQA problem, it still needs to improve the DNN- based quality
Chen, Zhibo, Wei Zhou, Zhou, Wei, Zhibo Chen   +3 more
core   +1 more source

Revisiting Multi-Scale Feature Fusion for Semantic Segmentation

CoRR, 2022
It is commonly believed that high internal resolution combined with expensive operations (e.g. atrous convolutions) are necessary for accurate semantic segmentation, resulting in slow speed and large memory usage. In this paper, we question this belief and demonstrate that neither high internal resolution nor atrous convolutions are necessary.
Tianjian Meng, Golnaz Ghiasi, Reza Mahjourian, Quoc V. Le, Mingxing Tan   +4 more
openaire   +2 more sources

Deep learning for anchor detection in multi-scale maps

, 2022
International audienceLandmarks, in physical space, are salient elements in the environment that allow people to orientate themselves and to find their way in the landscape.
Touya, Guillaume, Beladraoui, Chaima, El-Moutaouakkil, Amina, Potié, Quentin, Mackaness, William, A   +4 more
core   +1 more source

Multi-Scale Adversarial Feature Learning for Saliency Detection [PDF]

Symmetry, 2018
Previous saliency detection methods usually focused on extracting powerful discriminative features to describe images with a complex background. Recently, the generative adversarial network (GAN) has shown a great ability in feature learning for synthesizing high quality natural images.
Dandan Zhu, Lei Dai, Ye Luo, Guokai Zhang, Xuan Shao, Laurent Itti, Jianwei Lu   +6 more
openaire   +1 more source

Stability, Structure and Scale: Improvements in Multi-modal Vessel Extraction for SEEG Trajectory Planning

, 2015
Purpose Brain vessels are among the most critical landmarks that need to be assessed for mitigating surgical risks in stereo-electroencephalography (SEEG) implantation. Intracranial haemorrhage is the most common complication associated with implantation,
Anna Miserocchi, John S. Duncan, Achhala, S, Mark Nowell, Duncan, JS, Alex F. Mendelson, Maria A. Zuluaga, Sufyan Achhala, Sébastien Ourselin, Gergely Zombori, Cardoso, MJ, Ourselin, S, Nowell, M, M. Jorge Cardoso, Zombori, G, Mendelson, AF, Miserocchi, A, Rodionov, R, Roman Rodionov, Zuluaga Valencia, MA, McEvoy, AW, Andrew W. McEvoy   +21 more
core   +1 more source

MBMF: Constructing memory banks of multi‐scale features for anomaly detection

IET Computer Vision
In industrial manufacturing, how to accurately classify defective products and locate the location of defects has always been a concern. Previous studies mainly measured similarity based on extracting single‐scale features of samples. However, only using
Yanfeng Sun, Haitao Wang, Yongli Hu, Huajie Jiang, Baocai Yin   +4 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source