Results 61 to 70 of about 147,704 (285)

Image Style Transfer Algorithm Based on Semantic Segmentation

IEEE Access, 2021
Most of the existing image style transfer algorithms transfer the whole image style as a whole. Style feature is a set of correlation matrix based on style image, namely Gram matrix. Each matrix is a global description of the style image.
Zhijie Lin, Zhizhong Wang, Haibo Chen, Xiaolong Ma, Chuan Xie, Wei Xing, Lei Zhao, Wei Song   +7 more
doaj   +1 more source

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

, 2019
Semantic segmentation is essentially important to biomedical image analysis. Many recent works mainly focus on integrating the Fully Convolutional Network (FCN) architecture with sophisticated convolution implementation and deep supervision.
Ahmad, Sahar, Nie, Dong, Ren, Xuhua, Shen, Dinggang, Wang, Qian, Xiang, Lei, Yang, Fan, Zhang, Lichi   +7 more
core   +1 more source

Synthetic instance segmentation from semantic image segmentation masks

Knowledge-Based Systems
12 pages,4 ...
Yuchen Shen, Dong Zhang, Zhao Zhang, Liyong Fu, Qiaolin Ye   +4 more
openaire   +2 more sources

Scalable Cascade Inference for Semantic Image Segmentation [PDF]

Procedings of the British Machine Vision Conference 2012, 2012
Semantic image segmentation is a problem of simultaneous segmentation and recognition of an input image into regions and their associated categorical labels, such as person, car or cow. A popular way to achieve this goal is to assign a label to every pixel in the input image and impose simple structural constraints on the output label space.
Sturgess, P, Ladický, L, Crook, N, Torr, PHS   +3 more
openaire   +2 more sources

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Encoder–Decoder Structure Fusing Depth Information for Outdoor Semantic Segmentation

Applied Sciences, 2023
The semantic segmentation of outdoor images is the cornerstone of scene understanding and plays a crucial role in the autonomous navigation of robots.
Songnan Chen, Mengxia Tang, Ruifang Dong, Jiangming Kan   +3 more
doaj   +1 more source

DEEP FULLY RESIDUAL CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC IMAGE SEGMENTATION [PDF]

, 2018
Department of Computer Science and EngineeringThe goal of semantic image segmentation is to partition the pixels of an image into semantically meaningful parts and classifying those parts according to a predefined label set.
Tousi, Ali
core  

The Lov\'asz-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

, 2018
The Jaccard index, also referred to as the intersection-over-union score, is commonly employed in the evaluation of image segmentation results given its perceptual qualities, scale invariance - which lends appropriate relevance to small objects, and ...
Berman, Maxim, Blaschko, Matthew B., Triki, Amal Rannen   +2 more
core   +1 more source

CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao, Rong Li, Yu‐Xiang Jiao, Kai Ma, Hong‐Qi Yang, Zheng‐Yu Sun, Jie‐Wen Zhang, Shuai Chen   +7 more
wiley   +1 more source

Exploring Context with Deep Structured models for Semantic Segmentation

, 2017
State-of-the-art semantic image segmentation methods are mostly based on training deep convolutional neural networks (CNNs). In this work, we proffer to improve semantic segmentation with the use of contextual information.
Hengel, Anton van den, Lin, Guosheng, Reid, Ian, Shen, Chunhua   +3 more
core   +1 more source