Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features

Jaider Stiven Rincón, Andrés E. Castro-Ospina, Fabián R. Narváez, Gloria M. Díaz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationTechnology Trends - 4th International Conference, CITT 2018, Revised Selected Papers
EditorsMiguel Botto-Tobar, Mayra D’Armas, Miguel Zúñiga Sánchez, Miguel Zúñiga-Prieto, Guillermo Pizarro
PublisherSpringer Verlag
Pages617-629
Number of pages13
ISBN (Print)9783030055318
DOIs
StatePublished - 1 Jan 2019
Event4th International Conference on Technology Trends, CITT 2018 - Babahoyo, Ecuador
Duration: 29 Aug 201831 Aug 2018

Publication series

NameCommunications in Computer and Information Science
Volume895
ISSN (Print)1865-0929

Conference

Conference4th International Conference on Technology Trends, CITT 2018
CountryEcuador
CityBabahoyo
Period29/08/1831/08/18

Fingerprint

Texture Feature
Region of Interest
Mammography
Wavelet transforms
Wavelet Transform
Learning systems
Machine Learning
Textures
Feature extraction
Texture
Computer aided diagnosis
Computer-aided Diagnosis
Wavelet Coefficients
Image Analysis
Feature Selection
Image analysis
Descriptors
Feature Extraction
Model
Strategy

Keywords

  • Breast cancer
  • Machine learning methods
  • Radiomics
  • ROI classification

Cite this

Rincón, J. S., Castro-Ospina, A. E., Narváez, F. R., & Díaz, G. M. (2019). Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features. In M. Botto-Tobar, M. D’Armas, M. Zúñiga Sánchez, M. Zúñiga-Prieto, & G. Pizarro (Eds.), Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers (pp. 617-629). (Communications in Computer and Information Science; Vol. 895). Springer Verlag. https://doi.org/10.1007/978-3-030-05532-5_47
Rincón, Jaider Stiven ; Castro-Ospina, Andrés E. ; Narváez, Fabián R. ; Díaz, Gloria M. / Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features. Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. editor / Miguel Botto-Tobar ; Mayra D’Armas ; Miguel Zúñiga Sánchez ; Miguel Zúñiga-Prieto ; Guillermo Pizarro. Springer Verlag, 2019. pp. 617-629 (Communications in Computer and Information Science).
@inproceedings{f1f208eb40e44e0eb89ab495a89f5e65,
title = "Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features",
keywords = "Breast cancer, Machine learning methods, Radiomics, ROI classification",
author = "Rinc{\'o}n, {Jaider Stiven} and Castro-Ospina, {Andr{\'e}s E.} and Narv{\'a}ez, {Fabi{\'a}n R.} and D{\'i}az, {Gloria M.}",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-05532-5_47",
language = "English",
isbn = "9783030055318",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "617--629",
editor = "Miguel Botto-Tobar and Mayra D’Armas and {Z{\'u}{\~n}iga S{\'a}nchez}, Miguel and Miguel Z{\'u}{\~n}iga-Prieto and Guillermo Pizarro",
booktitle = "Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers",
address = "Germany",

}

Rincón, JS, Castro-Ospina, AE, Narváez, FR & Díaz, GM 2019, Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features. in M Botto-Tobar, M D’Armas, M Zúñiga Sánchez, M Zúñiga-Prieto & G Pizarro (eds), Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 895, Springer Verlag, pp. 617-629, 4th International Conference on Technology Trends, CITT 2018, Babahoyo, Ecuador, 29/08/18. https://doi.org/10.1007/978-3-030-05532-5_47

Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features. / Rincón, Jaider Stiven; Castro-Ospina, Andrés E.; Narváez, Fabián R.; Díaz, Gloria M.

Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. ed. / Miguel Botto-Tobar; Mayra D’Armas; Miguel Zúñiga Sánchez; Miguel Zúñiga-Prieto; Guillermo Pizarro. Springer Verlag, 2019. p. 617-629 (Communications in Computer and Information Science; Vol. 895).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features

AU - Rincón, Jaider Stiven

AU - Castro-Ospina, Andrés E.

AU - Narváez, Fabián R.

AU - Díaz, Gloria M.

PY - 2019/1/1

Y1 - 2019/1/1

KW - Breast cancer

KW - Machine learning methods

KW - Radiomics

KW - ROI classification

UR - http://www.scopus.com/inward/record.url?scp=85059779247&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/machine-learning-methods-classifying-mammographic-regions-using-wavelet-transform-radiomic-texture-f

U2 - 10.1007/978-3-030-05532-5_47

DO - 10.1007/978-3-030-05532-5_47

M3 - Conference contribution

AN - SCOPUS:85059779247

SN - 9783030055318

T3 - Communications in Computer and Information Science

SP - 617

EP - 629

BT - Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers

A2 - Botto-Tobar, Miguel

A2 - D’Armas, Mayra

A2 - Zúñiga Sánchez, Miguel

A2 - Zúñiga-Prieto, Miguel

A2 - Pizarro, Guillermo

PB - Springer Verlag

ER -

Rincón JS, Castro-Ospina AE, Narváez FR, Díaz GM. Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features. In Botto-Tobar M, D’Armas M, Zúñiga Sánchez M, Zúñiga-Prieto M, Pizarro G, editors, Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Springer Verlag. 2019. p. 617-629. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-05532-5_47