Results 131 to 140 of about 758,831 (346)

CUS3D: A New Comprehensive Urban-Scale Semantic-Segmentation 3D Benchmark Dataset

Remote Sensing
With the continuous advancement of the construction of smart cities, the availability of large-scale and semantically enriched datasets is essential for enhancing the machine’s ability to understand urban scenes.
Lin Gao, Yu Liu, Xi Chen, Yuxiang Liu, Shen Yan, Maojun Zhang   +5 more
doaj   +1 more source

Accuracy and reproducibility of a single‐pose image‐to‐robot registration method for mobile C‐arm cone beam CT guided histotripsy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Histotripsy is a focal tumor therapy that utilizes focused ultrasound (US) to mechanically destroy tissue. To overcome visualization limitations of diagnostic US‐guidance, C‐arm cone beam CT (CBCT)‐guided histotripsy is being developed, for which a mobile C‐arm could increase accessibility. CBCT‐guided histotripsy uses a phantom with a
Grace M. Minesinger, Paul F. Laeseke, Katrina L. Falk, Claire E. Hennen, Michael A. Speidel, Martin G. Wagner   +5 more
wiley   +1 more source

Unsupervised Morphological Multiscale Segmentation of Scanning Electron Microscopy Images

, 2014
This paper deals with a problem of unsupervised multiscale segmentation in the domain of scanning electron microscopy, which is tackled by mathematical morphology techniques. The proposed approach includes various steps.
Angulo, Jesus, Franchi, Gianni, Moreaud, Maxime   +2 more
core   +1 more source

TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images [PDF]

arXiv, 2020
Line segment detection is an essential task in computer vision and image analysis, as it is the critical foundation for advanced tasks such as shape modeling and road lane line detection for autonomous driving. We present a robust topological graph guided approach for line segment detection in low quality binary images (hence, we call it TGGLines). Due
arxiv  

The burden of intracranial atherosclerosis on cerebral small vessel disease: A community cohort study

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Exploring the prevalence and association between intracranial atherosclerosis (ICAS) and cerebral small vessel diseases (CSVD), this study delved beyond the current scope, utilising high‐resolution vessel wall MRI (HRVW‐MRI) to investigate how subtle changes in intracranial atherosclerotic features influence the various burdens of ...
Joseph Amihere Ackah, Heng Du, Wenjie Yang, Huixing Zeng, Jason Tsz Lok Chan, Michael Lung Cheung Lo, Xiangyan Chen   +6 more
wiley   +1 more source

PanDA: Panoptic Data Augmentation [PDF]

, 2019
The recently proposed panoptic segmentation task presents a significant challenge of image understanding with computer vision by unifying semantic segmentation and instance segmentation tasks. In this paper we present an efficient and novel panoptic data
Liu, Yang, Meister, Markus, Perona, Pietro   +2 more
core   +1 more source

Few-shot segmentation based on multi-level and cross-scale clustering

Connection Science
The problem of image segmentation with few-shot learning is addressed in this paper, which is a challenging task due to the lack of sufficient high-precision annotated data.
Shuai Yuan, Junhai Qiu, Hongxia Xu, Yan Zhang, Jiaxing Zhang   +4 more
doaj   +1 more source

Crop Organ Segmentation and Disease Identification Based on Weakly Supervised Deep Neural Network

Agronomy, 2019
Object segmentation and classification using the deep convolutional neural network (DCNN) has been widely researched in recent years. On the one hand, DCNN requires large data training sets and precise labeling, which bring about great difficulties in ...
Yang Wu, Lihong Xu
doaj   +1 more source

Automatic segmentation with detection of local segmentation failures in cardiac MRI [PDF]

currently under press - Scientific Reports (2020), 2020
Segmentation of cardiac anatomical structures in cardiac magnetic resonance images (CMRI) is a prerequisite for automatic diagnosis and prognosis of cardiovascular diseases. To increase robustness and performance of segmentation methods this study combines automatic segmentation and assessment of segmentation uncertainty in CMRI to detect image regions
arxiv  

Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar, Ruo‐Yah Lai, Zena Fadel, Yicheng Lin, Pia Parekh, Rachel Griep, Ming‐Kai Pan, Sheng‐Han Kuo   +7 more
wiley   +1 more source