Results 51 to 60 of about 762,738 (156)

Coherent segmentation of video into syntactic regions [PDF]

, 2005
In this paper we report on our work in realising an approach to video shot matching which involves automatically segmenting video into abstract intertwinded shapes in such a way that there is temporal coherency.
O'Connor, Noel E., Smyth, Oliver, Le Borgne, Hervé, de Burca, Seán, Smeaton, Alan F., Adamek, Tomasz, O\u27Connor, Noel E.   +6 more
core   +2 more sources

Deep Learning-Based Fully Automatic Segmentation of the Paranasal Sinuses in Chronic Rhinosinusitis Patients Using Computed Tomographic Images

IEEE Access
Chronic rhinosinusitis with nasal polyps (CRSwNP), as one of the most common chronic nasal inflammations, has been a major research focus in the field of rhinology due to its complex and varied pathophysiological features and suboptimal clinical ...
Yuhang Wang, Xiaolei Zhang, Weidong Du, Na Dai, Yi Lyv, Keying Wu, Yiyang Tian, Yuxin Jie, Yu Lin, Weipiao Kang   +9 more
doaj   +1 more source

Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation

Bioengineering
The consistency regularization method is a widely used semi-supervised method that uses regularization terms constructed from unlabeled data to improve model performance.
Yutao Tang, Yongze Guo, Huayu Wang, Ting Song, Yao Lu   +4 more
doaj   +1 more source

Integration of feature distributions for colour texture segmentation [PDF]

, 2004
This paper proposes a new framework for colour texture segmentation and determines the contribution of colour and texture. The distributions of colour and texture features provides the discrimination between different colour textured regions in an ...
P.F. Whelan, Nammalwar, Padmapriya, Ghita, Ovidiu, O. Ghita, Whelan, Paul F., P. Nammalwar   +5 more
core   +2 more sources

Body position influence on cerebrospinal fluid volume redistribution inside the cranial and spinal CSF compartments

Frontiers in Human Neuroscience
IntroductionIt is generally accepted that during body position changes from horizontal to vertical there is a short-lasting shift of a certain CSF volume from the cranium into the hydrostatically lower parts of the spinal space, which leads to transitory
I. Strbačko, M. Radoš, I. Jurjević, D. Orešković, M. Klarica, M. Klarica   +5 more
doaj   +1 more source

Combining Multiple Knowledge Sources for Dialogue Segmentation in Multimedia Archives [PDF]

, 2007
Automatic segmentation is important for making multimedia archives comprehensible, and for developing downstream information retrieval and extraction modules.
Moore, Johanna D., Hsueh, Pei-Yun
core  

A segmentation method for LiDAR point clouds of aerial slender targets

Frontiers in Physics
LiDAR (Light Detection and Ranging) is an essential device for capturing the depth information of objects. Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image sensors to make autonomous flight decisions.
Birong Huang, Zilong Wang, Jianhua Chen, Bingyang Zhou, Hao Ma   +4 more
doaj   +1 more source

Improved Segmentation of Infant Retinal Images and Quantitative Vascular Analysis

IEEE Access
Retinopathy of Prematurity is a leading cause of visual impairment in preterm infants and is characterized by dilation and tortuosity of the retinal blood vessels in the plus disease stage.
Ying Wang, Xiaoyu Zheng, Chunlei He, Jianfeng Zhang, Shoujun Huang   +4 more
doaj   +1 more source

Neural competition for motion segmentation [PDF]

, 2010
Steffen JF, Pardowitz M, Steil JJ, Ritter H. Neural competition for motion segmentation. In: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).
Ritter, Helge ; https://orcid.org/, Steil, Jochen J., Pardowitz, Michael, Steffen, Jan Frederik   +3 more
core  

A comparative evaluation of interactive segmentation algorithms [PDF]

, 2010
In this paper we present a comparative evaluation of four popular interactive segmentation algorithms. The evaluation was carried out as a series of user-experiments, in which participants were tasked with extracting 100 objects from a common dataset: 25
McGuinness, Kevin, O'Connor, Noel E., O\u27Connor, Noel E.   +2 more
core   +2 more sources