Results 91 to 100 of about 30,838 (137)

Changes in brainstem habituation during onabotulinumtoxinA treatment in chronic migraine: A prospective case–control study

Headache: The Journal of Head and Face Pain, EarlyView.
Abstract Objectives/Background Chronic migraine is a debilitating neurological disorder characterized by central sensitization and impaired brainstem habituation. OnabotulinumtoxinA is an established prophylactic treatment for chronic migraine, yet its effects on central trigeminal sensory processing remain incompletely understood.
Gerlinde Freimark, Sebastian Strauss, Lucas H. Overeem, Mira P. Fitzek, Kristin S. Lange, Carolin L. Höhne, Uwe Reuter, Robert Fleischmann, Bianca Raffaelli   +8 more
wiley   +1 more source

Highly Discriminative Image Copy-Move Forgery Detection [PDF]

Jisuanji gongcheng
Several discriminative problems exist in copy-move forgery detection, including the difficulty of using keypoints to cover smooth regions, lack of color descriptive capability in feature representations, and insufficient accuracy of feature matching ...
WANG Chao, HUANG Zhiqiu, ZHANG Yushu, YI Shuang
doaj   +1 more source

MiR‐210‐3p is upregulated in diabetic peripheral neuropathy and may be involved in the progression of the disease by targeting brain‐derived neurotrophic factor

Journal of Diabetes Investigation, EarlyView.
Elevated miR‐210‐3p expression was diagnostic for diabetic peripheral neuropathy (DPN) and served as an independent risk factor for DPN. miR‐210‐3p functioned by negatively regulating BDNF, and its inhibitor reversed hyperglycemia‐induced Schwann cell dysfunction, whereas BDNF knockdown eliminated this protective effect.
Yafei Zhao, Liu Wang, Dongcai Feng
wiley   +1 more source

Nerve Ultrasound in Patients With Friedreich Ataxia

Muscle &Nerve, Volume 73, Issue 3, Page 395-402, March 2026.
ABSTRACT Introduction/Aims Nerve enlargement has been reported in patients with Friedreich ataxia (FRDA). The underlying cause remains unclear, and both inflammatory processes and dysmyelination have been suggested as potential mechanisms. This study was aimed at assessing nerve morphology with high‐resolution ultrasound, to identify and describe ...
Katharina Kneer, Jan‐Hendrik Stahl, Natalie Winter, Julia Wittlinger, Stephanie Männlin, Toghrul Gasimli, Ludger Schöls, Zofia Fleszar, Stefanie Hayer, Alexander Grimm   +9 more
wiley   +1 more source

Assigning Main Orientation to an EOH Descriptor on Multispectral Images

Sensors, 2015
This paper proposes an approach to compute an EOH (edge-oriented histogram) descriptor with main orientation. EOH has a better matching ability than SIFT (scale-invariant feature transform) on multispectral images, but does not assign a main orientation ...
Yong Li, Xiang Shi, Lijun Wei, Junwei Zou, Fang Chen   +4 more
doaj   +1 more source

Computer Vision‐Guided Automated External Defibrillator System Improves Cardiopulmonary Resuscitation Accuracy: A Randomized Crossover Trial

Health Science Reports, Volume 9, Issue 2, February 2026.
ABSTRACT Background and Aims Out‐of‐hospital cardiac arrests (OHCAs) remain a critical challenge in emergency care, as CPR effectiveness heavily relies on precise chest compressions. We propose a novel CPR guidance system using computer vision to track rescuer motion in real time.
Li Liu, Hua Huang, Pengcheng Zhao, Yan Chen, Sixing Liu, Qun Wu, Wei Jing, Mingjie Yin, Yongyuan Li, Jiahuan Lu, Xicheng Zhang, He Xu, Yimu Ji   +12 more
wiley   +1 more source

Peering into the world of wild passerines with 3D‐SOCS: Synchronized video capture and posture estimation

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 339-356, February 2026.
Abstract Collection of large behavioural data‐sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, has unlocked a new frontier of fine‐scale markerless measurements.
Michael Chimento, Alex Hoi Hang Chan, Lucy M. Aplin, Fumihiro Kano   +3 more
wiley   +1 more source

Automatic adaptation of SIFT for robust facial recognition in uncontrolled lighting conditions

IET Computer Vision, 2018
The scale invariant feature transform (SIFT), which was proposed by David Lowe, is a powerful method that extracts and describes local features called keypoints from images. These keypoints are invariant to scale, translation, and rotation, and partially
Meriama Mahamdioua, Mohamed Benmohammed
doaj   +1 more source

Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez, Beatriz Remeseiro, Verónica Bolón‐Canedo   +2 more
wiley   +1 more source

UAV Localization Method with Keypoints on the Edges of Semantic Objects for Low-Altitude Economy

Drones
The low-altitude economy heavily relies on new carriers represented by unmanned aerial vehicles (UAVs). The localization accuracy of UAVs highly relies on the Global Navigation Satellite System (GNSS), which can be easily affected in low-altitude urban ...
Yineng Li, Qinghua Zeng, Chen Shao, Peng Zhuo, Bowen Li, Kecheng Sun   +5 more
doaj   +1 more source