Results 11 to 20 of about 626,767 (280)

Image segmentation based on adaptive K-means algorithm

open access: yesEURASIP 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

Pattern recognition receptors

open access: yesJapanese Journal of Clinical Immunology, 2011
Immunity is based on self/nonself discrimination. In vertebrates, two major systems, innate and adaptive immune systems, constitute host defense against invading microbes. Adaptive immunity is characterized by specific immune responses through B- or T-cell antigen receptors that are generated by somatic recombination, whereas nonspecific responses to ...
Takaya, Hayashi   +2 more
openaire   +3 more sources

Deep learning for terahertz image denoising in nondestructive historical document analysis

open access: yesScientific 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Historical documents contain essential information about the past, including places, people, or events.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

open access: yesSensors, 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

open access: yesBioData 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

Pattern Recognition by Pentraxins [PDF]

open access: yes, 2009
Pentraxins are a family of evolutionarily conserved pattern-recognition proteins that are made up of five identical subunits. Based on the primary structure of the subunit, the pentraxins are divided into two groups: short pentraxins and long pentraxins. C-reactive protein (CRP) and serum amyloid P-component (SAP) are the two short pentraxins.
Agrawal, Alok   +4 more
openaire   +3 more sources

EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control

open access: yesScientific 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

AUCReshaping: improved sensitivity at high-specificity

open access: yesScientific Reports, 2023
The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific ranges of ...
Sheethal Bhat   +9 more
doaj   +1 more source

FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales

open access: yesScientific Reports, 2021
Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting ...
Christian Bergler   +7 more
doaj   +1 more source

SSN2V: unsupervised OCT denoising using speckle split

open access: yesScientific Reports, 2023
Denoising in optical coherence tomography (OCT) is important to compensate the low signal-to-noise ratio originating from laser speckle. In recent years learning algorithms have been established as the most powerful denoising approach.
Julia Schottenhamml   +6 more
doaj   +1 more source

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