Results 11 to 20 of about 4,039,022 (264)

Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data

open access: yesScientific 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

Rapid face recognition using hashing [PDF]

open access: yes, 2010
We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach, which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than on the YaleB
Shen, Chunhua   +8 more
core   +1 more source

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

Deep learning for terahertz image denoising in nondestructive historical document analysis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Historical documents contain essential information about the past, including places, people, or events.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

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

Sparse distributed localized gradient fused features of objects [PDF]

open access: yes, 2015
The sparse, hierarchical, and modular processing of natural signals is related to the ability of humans to recognize objects with high accuracy. In this study, we report a sparse feature processing and encoding method, which improved the recognition ...
Pappachen James, Alex   +2 more
core   +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

Graph-based pattern recognition on spectral reduced graphs

open access: yes, 2023
Institute of Computer Science, Pattern Recognition Group ...
Riesen, Kaspar   +1 more
core   +1 more source

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