Results 61 to 70 of about 2,947,234 (236)

A mouse model of mechanical stress injury to the basal ganglia using thermosensitive PNIPAM hydrogel for intracerebral hemorrhage research

Animal Models and Experimental Medicine, EarlyView.
In this study, we established a novel mouse model of intracerebral hemorrhage (ICH) by stereotactically injecting thermosensitive PNIPAM hydrogel into the internal capsule to impose localized mechanical stress on the corticospinal tract, which provides a straightforward and reproducible tool for preclinical studies on focal mechanical stress–induced ...
Mingxi Li, Yujie Chen, Rongsu Huang, Min Xia, Chao Mi, Yuan Tian, Peiwen Guo, Taotao Jin, Shilei Hao, Hua Feng, Yujie Chen, Zhi Chen   +11 more
wiley   +1 more source

Learning-based Adaptive Tone Mapping for Keypoint Detection

, 2017
International audienceThe goal of tone mapping operators (TMOs) has traditionally beento display high dynamic range (HDR) pictures in a perceptually favorableway.
Rana, Aakanksha, A, Frederic Dufaux, Giuseppe Valenzise, Dufaux, Frederic, Valenzise, Giuseppe, Aakanksha Rana   +5 more
core   +1 more source

Validation of a handheld smartphone markerless method for quantifying thoracolumbar flexion–extension range of motion in horses at trot

Equine Veterinary Journal, EarlyView.
Abstract Background Back pain and poor performance in horses are difficult to assess objectively and thoracolumbar flexion‐extension range of motion (FEROM) is not reliably evaluated by subjective observation alone. A handheld, smartphone‐based markerless computer vision system (RealHorse®; RH) may enable objective clinical and field‐based FEROM ...
Maria Rosendahl Christensen, Jakob Kirkegaard, Katja Berg, Kristian Ringkjær Andresen, Sabrina Skov Hansen, Karsten Key   +5 more
wiley   +1 more source

Comparative analysis of methods for keypoint detection in images with different illumination level

MATEC Web of Conferences, 2018
This article presents a comparative analysis of methods for keypoint detection that is a part of the research on the development of a surround camera system for large vehicles. Since the night time is the most dangerous for driving and the most difficult
Makarov Aleksei, Bolsunovskaya Marina, Zhigunova Olga   +2 more
doaj   +1 more source

Automated Assessment of Radiographic Bone Loss in the Posterior Maxilla Utilizing a Multi-Object Detection Artificial Intelligence Algorithm

Applied Sciences, 2023
Periodontitis is one of the most prevalent diseases worldwide. The degree of radiographic bone loss can be used to assess the course of therapy or the severity of the disease. Since automated bone loss detection has many benefits, our goal was to develop
Andreas Vollmer, Michael Vollmer, Gernot Lang, Anton Straub, Alexander Kübler, Sebastian Gubik, Roman C. Brands, Stefan Hartmann, Babak Saravi   +8 more
doaj   +1 more source

Bio‐inspired vision: From principle, material architectures to system‐level integration

FlexMat, EarlyView.
This review introduces the development and mechanism of electronic and ionic bio‐inspired vision devices respectively. Then, it explores the impact of structure on bio‐inspired visual performance from the scale of intrinsic materials and device. Finally, it concludes that only by combining advanced software and technology can more complex vision ...
Zewan Lin, Miaoyi Xu, Xianda Ma, Weifeng Yang, Yuanlong Shao   +4 more
wiley   +1 more source

CourtKeyNet: A novel octave-based architecture for precision badminton court detection with geometric constraints

Machine Learning with Applications
Court detection is an important part of sports video analysis, match statistics generation and automated broadcasting systems. Current methodologies often rely on general object detection methods, lacking domain specific knowledge for the correct ...
Adithya N Raj, Prethija G.
doaj   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

Journal of Field Robotics, EarlyView.
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer, Markus Murschitz, Matthias Schörghuber, Lukas Reisinger, Thomas Kadiofsky, Christoph Weidinger, Mario Niedermeyer, Benedikt Widy, Marcel Zeilinger, Csaba Beleznai, Tobias Glück, Andreas Kugi, Patrik Zips   +12 more
wiley   +1 more source

SURABHI: Self-Training Using Rectified Annotations-Based Hard Instances for Eidetic Cattle Recognition

Sensors
We propose a self-training scheme, SURABHI, that trains deep-learning keypoint detection models on machine-annotated instances, together with the methodology to generate those instances.
Manu Ramesh, Amy R. Reibman
doaj   +1 more source

Multi-scale Keypoints in V1 and Face Detection [PDF]

, 2005
End-stopped cells in cortical area V1, which combine outputs of complex cells tuned to different orientations, serve to detect line and edge crossings (junctions) and points with a large curvature. In this paper we study the importance of the multi-scale keypoint representation, i.e.
Rodrigues, J. M. F., du Buf, J. M. H.
openaire   +2 more sources