A supervised visual model for finding regions of interest in basal cell carcinoma images. - Wikidata - wikimedia - TriplyDB

A supervised visual model for finding regions of interest in basal cell carcinoma images.

A supervised visual model for finding regions of interest in basal cell carcinoma images.

http://www.wikidata.org/entity/Q34817355

about

Follow-up of breast papillary lesion on core needle biopsy: experience in African-American population.Performance of a simple chromatin-rich segmentation algorithm in quantifying basal cell carcinoma from histology images Automatic nuclei segmentation in H&E stained breast cancer histopathology images.CognitionMaster: an object-based image analysis framework Pathology imaging informatics for quantitative analysis of whole-slide images Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study.Learning-Based Visual Saliency Model for Detecting Diabetic Macular Edema in Retinal Image.A visual model approach to extract regions of interest in microscopical images of basal cell carcinoma.Fractal dimension and Shannon's entropy analyses of the architectural complexity caused by the inflammatory reactions induced by highly crystalline poly(vinyl alcohol) microspheres implanted in subcutaneous tissues of the Wistar rats

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P2860

A supervised visual model for finding regions of interest in basal cell carcinoma images.

http://www.wikidata.org/entity/Q34817355

description

2011 nî lūn-bûn

@nan

2011 թուականի Մարտին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի մարտին հրատարակված գիտական հոդված

@hy

2011年の論文

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2011年学术文章

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2011年学术文章

@zh-cn

2011年学术文章

@zh-hans

2011年学术文章

@zh-my

2011年学术文章

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2011年學術文章

@yue

name

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@ast

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@en

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@nl

type

label

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@ast

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@en

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@nl

prefLabel

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@ast

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@en

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@nl

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Diagnostic Pathology

P1476

A supervised visual model for finding regions of interest in basal cell carcinoma images.

@en

P2093

Eduardo Romero

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Francisco Gómez

http://www.w3.org/2001/XMLSchema#string

Lucía Roa-Peña

http://www.w3.org/2001/XMLSchema#string

Ricardo Gutiérrez

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P2860

Computational modelling of visual attention

A feature-integration theory of attention

Neural mechanisms of selective visual attention

Towards an automated virtual slide screening: theoretical considerations and practical experiences of automated tissue-based virtual diagnosis to be implemented in the Internet.

Large-scale neural model for visual attention: integration of experimental single-cell and fMRI data.

Development of visual diagnostic expertise in pathology.

Visual field map clusters in human cortex.

The virtual microscope.

Eye-movement study and human performance using telepathology virtual slides: implications for medical education and differences with experience.

Automated detection of regions of interest for tissue microarray experiments: an image texture analysis.

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26

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scholarly article

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10.1186/1746-1596-6-26

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6

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2011-03-29T00:00:00Z

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50906780

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1016905992

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3079595

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