Combining Statistical and Geometric Features for Colonic Polyp Detection in CTC Based on Multiple Kernel Learning (Q34193283)

31 July 2017

title

Combining Statistical and Geometric Features for Colonic Polyp Detection in CTC Based on Multiple Kernel Learning (English)

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31 July 2017

0 references

4

Ronald M Summers

1 reference

31 July 2017

2

Jianhua Yao

1 reference

31 July 2017

Shijun Wang

1

1 reference

31 July 2017

Nicholas Petrick

series ordinal

3

1 reference

31 July 2017

publication date

1 January 2010

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International Journal of Computational Intelligence and Applications

31 July 2017

published in

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31 July 2017

volume

9

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31 July 2017

issue

1

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31 July 2017

page(s)

1-15

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Computer-aided detection of colonic polyps with level set-based adaptive convolution in volumetric mucosa to advance CT colonography toward a screening modality.

31 July 2017

cites work

1 reference

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Wavelet method for CT colonography computer-aided polyp detection

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2953819

A fully automatic CAD-CTC system based on curvature analysis for standard and low-dose CT data.

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2953819

Reduction of false positives by internal features for polyp detection in CT-based virtual colonoscopy

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2953819

Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2953819

CT colonography and MR colonography: current status, research directions and comparison

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2953819

Automated polyp detection at CT colonography: feasibility assessment in a human population.

5 July 2018

1 reference

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Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT.

21 January 2018

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Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps.

21 January 2018

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Distinctive Image Features from Scale-Invariant Keypoints

21 January 2018

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Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography.

21 January 2018

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Support vector machines for histogram-based image classification.

21 January 2018

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Computer-aided diagnosis in virtual colonography via combination of surface normal and sphere fitting methods.

21 January 2018

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Automated Polyp Detector for CT Colonography: Feasibility Study

21 January 2018

1 reference

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A Tutorial on Support Vector Machines for Pattern Recognition

21 January 2018

1 reference

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Choosing Multiple Parameters for Support Vector Machines

21 January 2018

1 reference

https://api.crossref.org/works/10.1142%2FS1469026810002744

Computerized detection of colonic polyps at CT colonography on the basis of volumetric features: pilot study

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/20953299

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Computer-aided detection of polyps in CT colonography using logistic regression

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/20953299

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1142/S1469026810002744

1 reference

31 July 2017

DBLP publication ID

journals/ijcia/WangYPS10

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

31 July 2017

1 reference