Results 81 to 90 of about 488,489 (323)

A New Nonlinear Diffusion Equation Model for Noisy Image Segmentation

open access: yesAdvances in Mathematical Physics, 2016
Image segmentation and image denoising are two important and fundamental topics in the field of image processing. Geometric active contour model based on level set method can deal with the problem of image segmentation, but it does not consider the ...
Bo Chen   +5 more
doaj   +1 more source

COMPUTATIONAL TIME MODELLING FOR TREE CROWN EXTRACTION FROM HIGH RESOLUTION IMAGERY USING GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Image segmentation, unlike most conventional approaches, assesses image pixel information in relation to image contextual information to extract congruent image objects.
J. A. Okojie   +3 more
doaj   +1 more source

Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
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

Clustering Approach Towards Image Segmentation: An Analytical Study [PDF]

open access: yesInternational Journal of Research in Computer Applications and Robotics, ISSN 2320-7345, Vol.2, Issue.7, Pg.: 115-124 July 2014, 2014
Image processing is an important research area in computer vision. Image segmentation plays the vital rule in image processing research. There exist so many methods for image segmentation. Clustering is an unsupervised study. Clustering can also be used for image segmentation.
arxiv  

Image Segmentation with Context [PDF]

open access: yes, 2007
We present a technique for simultaneous segmentation and classification of image partitions using combinatorial optimization techniques. By combining existing image segmentation approaches with simple learning techniques we show how prior knowledge can be incorporated into the visual grouping process through the formulation of a quadratic binary ...
Eriksson, Anders   +2 more
openaire   +3 more sources

Bayesian segmentation of hyperspectral images [PDF]

open access: yesAIP Conference Proceedings, 2004
8 pages, 2 figures, presented at MaxEnt 2004, Inst.
Mohammadpour, Adel   +2 more
openaire   +5 more sources

Multiplex single‐cell profiling of putative cancer stem cell markers ALDH1, SOX9, SOX2, CD44, CD133 and CD15 in endometrial cancer

open access: yesMolecular Oncology, EarlyView.
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

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

open access: yesMolecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song   +13 more
wiley   +1 more source

Variational Image Segmentation Model Coupled with Image Restoration Achievements [PDF]

open access: yesarXiv, 2014
Image segmentation and image restoration are two important topics in image processing with great achievements. In this paper, we propose a new multiphase segmentation model by combining image restoration and image segmentation models. Utilizing image restoration aspects, the proposed segmentation model can effectively and robustly tackle high noisy ...
arxiv  

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

open access: yesMolecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka   +10 more
wiley   +1 more source

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