Results 111 to 120 of about 719,917 (315)
Objective Evaluation Criteria for 2D-Shape Estimation Results of Moving Objects
The objective evaluation of 2D-shape estimation results for moving objects in a video sequence is still an open problem. First approaches in the literature evaluate the spatial accuracy and the temporal coherency of the estimated 2D object shape ...
Marqués Ferran, Mech Roland
doaj +1 more source
Purpose: This study aims to investigate how extrinsic cues such as brand, certification, production method and price affect Muslim soujouk consumers’ purchasing decisions in Turkey.
Ismail Tamer Toklu+2 more
doaj +1 more source
Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer
We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas+15 more
wiley +1 more source
A PSO MODEL FOR DISEASE PATTERN DETECTION ON LEAF SURFACES
The main objective of this paper is to segment the disease affected portion of a plant leaf and extract the hybrid features for better classification of different disease patterns. A new approach named as Particle Swarm Optimization (PSO) is proposed for
Kanthan Muthukannan, Pitchai Latha
doaj +1 more source
The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain MR images.
Yongyue Zhang+2 more
semanticscholar +1 more source
Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien+7 more
wiley +1 more source
Nanobubbles (NBs) on hydrophobic surfaces in aqueous solvents have shown great potential in numerous applications. In this study, the morphological characterization of NBs in AFM images was carried out with the assistance of a novel image segmentation ...
Yuliang Wang+3 more
doaj +1 more source
Automated pebble mosaic stylization of images
Digital mosaics have usually used regular tiles, simulating historical tessellated mosaics. In this paper, we present a method for synthesizing pebble mosaics, a historical mosaic style in which the tiles are rounded pebbles.
Lars Doyle+3 more
doaj +1 more source
Exploring Segment Representations for Neural Segmentation Models [PDF]
Many natural language processing (NLP) tasks can be generalized into segmentation problem. In this paper, we combine semi-CRF with neural network to solve NLP segmentation tasks. Our model represents a segment both by composing the input units and embedding the entire segment.
arxiv
Linear Segmentation and Segment Significance
9 pages, US Letter, 4 figures.
Kan, Min-Yen+2 more
openaire +2 more sources