Intelligent Automated System for detecting Diagnostically Challenging Breast Cancers

Project Information

SmartMammaCAD

Grant agreement ID: 656886

DOI 10.3030/656886

Project closed

EC signature date 17 April 2015

Start date 1 September 2015

End date 31 August 2018

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 257 191,20

EU contribution € 257 191,20

Coordinated by

UNIVERSIDAD DE GRANADA
Spain

Publications

Peer reviewed articles (3)

A semi-supervised learning approach for model selection based on class-hypothesis testing

Author(s): Juan M. Gorriz, Javier Ramirez, John Suckling, F.J. Martinez-Murcia, I.A. Illán, F. Segovia, A. Ortiz, D. Salas-González, D. Castillo-Barnés, C.G. Puntonet
Published in: Expert Systems with Applications, Issue 90, 2017, Page(s) 40-49, ISSN 0957-4174
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2017.08.006

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM

Author(s): J. M. Gorriz, J. Ramirez, J. Suckling, Ignacio Alvarez Illan, Andres Ortiz, F. J. Martinez-Murcia, Fermin Segovia, D. Salas-Gonzalez, Shuihua Wang
Published in: IEEE Access, Issue 5, 2017, Page(s) 11468-11478, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2017.2714579

Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Author(s): Ignacio Alvarez Illan, Javier Ramirez, J. M. Gorriz, Maria Adele Marino, Daly Avendano, Thomas Helbich, Pascal Baltzer, Katja Pinker, Anke Meyer-Baese
Published in: Contrast Media & Molecular Imaging, Issue 2018, 2018, Page(s) 1-11, ISSN 1555-4309
Publisher: John Wiley & Sons Inc.
DOI: 10.1155/2018/5308517

Conference proceedings (5)

Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement

Author(s): Ignacio Alvarez Illán, Anke Mayer-Baese, Amirhessam Tahmassebi, Javier Ramirez, Juan Manuel Gorriz, Katja Pinker, Simon Foo
Published in: Computational Imaging III, 2018, Page(s) 31, ISBN 9781-510618503
Publisher: SPIE
DOI: 10.1117/12.2304588

3D Gabor Filters for Chest Segmentation in DCE-MRI

Author(s): I. A. Illan, J. Perez Matos, J. Ramirez, J. M. Gorriz, S. Foo, A. Meyer-Baese
Published in: Hybrid Artificial Intelligent Systems, 2018, Page(s) 446-454
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-92639-1_37

Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets

Author(s): I. A. Illan, J. Ramirez, J. M. Gorriz, K. Pinker, A. Meyer-Baese
Published in: International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, 2018, Page(s) 221-229
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-94120-2_21

Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis

Author(s): I. A. Illan, J. Ramirez, J. M. Gorriz, K. Pinker, A. Meyer-Baese
Published in: Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018, Page(s) 124-131, ISBN 978-3-030-00946-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-00946-5_14

Machine learning for challenging tumour detection and classification in breast cancer

Author(s): I. Alvarez Illan, A. Meyer-Baese, J. Perez Matos, M. B. I. Lobbes, K. Pinker
Published in: epos, 2017
Publisher: European society of radiology
DOI: 10.1594/ecr2017/C-3151