Results 1 to 10 of about 10,738,952 (360)
A principled representation of elongated structures using heatmaps
Scientific Reports, 2023 The detection of elongated structures like lines or edges is an essential component in semantic image analysis. Classical approaches that rely on significant image gradients quickly reach their limits when the structure is context-dependent, amorphous ...
Florian Kordon +5 more
doaj +1 more source
Pattern recognition receptors in health and diseases
Signal Transduction and Targeted Therapy, 2021 Pattern recognition receptors (PRRs) are a class of receptors that can directly recognize the specific molecular structures on the surface of pathogens, apoptotic host cells, and damaged senescent cells.
Danyang Li, Minghua Wu
semanticscholar +1 more source
Scientific Reports, 2022 With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable reproducible development of diagnostic algorithms in the medical domain.
Kai Packhäuser +5 more
doaj +1 more source
Image segmentation based on adaptive K-means algorithm
EURASIP Journal on Image and Video Processing, 2018 Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
doaj +1 more source
Advances in Multimedia, 2023 With the rapid development of the national power grid, there is an increasing and strict demand for accurate intelligent management. However, the current detection algorithms have limited abilities under adverse conditions, especially in regions like ...
R. Chang +8 more
doaj +1 more source
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2019 Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classification, speech emotion classification and sound event detection ...
Qiuqiang Kong +5 more
semanticscholar +1 more source
Deep learning for terahertz image denoising in nondestructive historical document analysis
Scientific Reports, 2022 Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta +11 more
doaj +1 more source
Exploring Misclassification Information for Fine-Grained Image Classification
Sensors, 2021 Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
doaj +1 more source
Sparse self-attention aggregation networks for neural sequence slice interpolation
BioData Mining, 2021 Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 more
doaj +1 more source
Scientific Reports, 2021 In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation. However, keeping track of these annotations to ensure a high-quality multi-purpose data set is a challenging and ...
Christian Marzahl +9 more
doaj +1 more source