Classification of mammorgraphic microcalcification clusters using a combination of topological and location modelling

Oluwaseun Ashiru; Reyer Zwiggelaar

doi:10.1109/IPTA.2016.7820986

Classification of mammorgraphic microcalcification clusters using a combination of topological and location modelling

Oluwaseun Ashiru, Reyer Zwiggelaar

Adran Cyfrifiadureg

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

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We have investigated the classification of micro-calcification clusters in mammograms by combining two existing approaches. One of the approaches involves extracting and using topological information (connectivity) about micro-calcification clusters as feature vectors to classify them as being benign or malignant. The other approach involves extracting and using location details of micro-calcification clusters (where they appear in a breast and/or mammogram) as feature vectors to classify them as being benign or malignant. We have investigated various aspects of both methods and their combination. Our initial results, based on MIAS and DDSM indicate no significant improvement over the topological approach on its own

Iaith wreiddiol	Saesneg
Teitl	6th International Conference on Image Processing Theory
Is-deitl	Tools and Applications
Golygyddion	M. Pietikainen, A. Hadid, M. B. Lopez
Cyhoeddwr	IEEE Press
ISBN (Argraffiad)	978-146738910-5
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/IPTA.2016.7820986
Statws	Cyhoeddwyd - 17 Ion 2017
Digwyddiad	6th International Conference on Image Processing Theory : Tools and Applications - Oulu, Y Ffindir Hyd: 12 Rhag 2016 → 15 Rhag 2016

Cynhadledd

Cynhadledd	6th International Conference on Image Processing Theory
Teitl cryno	IPTA 2016
Gwlad/Tiriogaeth	Y Ffindir
Dinas	Oulu
Cyfnod	12 Rhag 2016 → 15 Rhag 2016

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10.1109/IPTA.2016.7820986

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http://hdl.handle.net/2160/44699

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@inproceedings{6b68dfb4e63548be9e8c1cf1621e2962,

title = "Classification of mammorgraphic microcalcification clusters using a combination of topological and location modelling",

abstract = "We have investigated the classification of micro-calcification clusters in mammograms by combining two existing approaches. One of the approaches involves extracting and using topological information (connectivity) about micro-calcification clusters as feature vectors to classify them as being benign or malignant. The other approach involves extracting and using location details of micro-calcification clusters (where they appear in a breast and/or mammogram) as feature vectors to classify them as being benign or malignant. We have investigated various aspects of both methods and their combination. Our initial results, based on MIAS and DDSM indicate no significant improvement over the topological approach on its own",

keywords = "topology, mammography, delta-sigma modulation, feature extraction, breast cancer",

author = "Oluwaseun Ashiru and Reyer Zwiggelaar",

year = "2017",

month = jan,

day = "17",

doi = "10.1109/IPTA.2016.7820986",

language = "English",

isbn = "978-146738910-5",

editor = "M. Pietikainen and A. Hadid and Lopez, {M. B.}",

booktitle = "6th International Conference on Image Processing Theory",

publisher = "IEEE Press",

address = "United States of America",

note = "6th International Conference on Image Processing Theory : Tools and Applications, IPTA 2016 ; Conference date: 12-12-2016 Through 15-12-2016",

}

Ashiru, O & Zwiggelaar, R 2017, Classification of mammorgraphic microcalcification clusters using a combination of topological and location modelling. yn M Pietikainen, A Hadid & MB Lopez (gol.), 6th International Conference on Image Processing Theory: Tools and Applications., 7820986, IEEE Press, 6th International Conference on Image Processing Theory , Oulu, Y Ffindir, 12 Rhag 2016. https://doi.org/10.1109/IPTA.2016.7820986

Classification of mammorgraphic microcalcification clusters using a combination of topological and location modelling. / Ashiru, Oluwaseun; Zwiggelaar, Reyer.
6th International Conference on Image Processing Theory: Tools and Applications. gol. / M. Pietikainen; A. Hadid; M. B. Lopez. IEEE Press, 2017. 7820986.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

TY - GEN

T1 - Classification of mammorgraphic microcalcification clusters using a combination of topological and location modelling

AU - Ashiru, Oluwaseun

AU - Zwiggelaar, Reyer

PY - 2017/1/17

Y1 - 2017/1/17

N2 - We have investigated the classification of micro-calcification clusters in mammograms by combining two existing approaches. One of the approaches involves extracting and using topological information (connectivity) about micro-calcification clusters as feature vectors to classify them as being benign or malignant. The other approach involves extracting and using location details of micro-calcification clusters (where they appear in a breast and/or mammogram) as feature vectors to classify them as being benign or malignant. We have investigated various aspects of both methods and their combination. Our initial results, based on MIAS and DDSM indicate no significant improvement over the topological approach on its own

AB - We have investigated the classification of micro-calcification clusters in mammograms by combining two existing approaches. One of the approaches involves extracting and using topological information (connectivity) about micro-calcification clusters as feature vectors to classify them as being benign or malignant. The other approach involves extracting and using location details of micro-calcification clusters (where they appear in a breast and/or mammogram) as feature vectors to classify them as being benign or malignant. We have investigated various aspects of both methods and their combination. Our initial results, based on MIAS and DDSM indicate no significant improvement over the topological approach on its own

KW - topology

KW - mammography

KW - delta-sigma modulation

KW - feature extraction

KW - breast cancer

UR - http://hdl.handle.net/2160/44699

U2 - 10.1109/IPTA.2016.7820986

DO - 10.1109/IPTA.2016.7820986

M3 - Conference Proceeding (Non-Journal item)

SN - 978-146738910-5

BT - 6th International Conference on Image Processing Theory

A2 - Pietikainen, M.

A2 - Hadid, A.

A2 - Lopez, M. B.

PB - IEEE Press

T2 - 6th International Conference on Image Processing Theory

Y2 - 12 December 2016 through 15 December 2016

ER -

Classification of mammorgraphic microcalcification clusters using a combination of topological and location modelling

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