Intelligent Automated System for detecting Diagnostically Challenging Breast Cancers

Informazioni relative al progetto

SmartMammaCAD

ID dell’accordo di sovvenzione: 656886

DOI 10.3030/656886

Progetto chiuso

Data della firma CE 17 Aprile 2015

Data di avvio 1 Settembre 2015

Data di completamento 31 Agosto 2018

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale € 257 191,20

Contributo UE € 257 191,20

Coordinato da

UNIVERSIDAD DE GRANADA
Spain

Pubblicazioni

Peer reviewed articles (3)

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

Autori: 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
Pubblicato in: Expert Systems with Applications, Numero 90, 2017, Pagina/e 40-49, ISSN 0957-4174
Editore: 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

Autori: J. M. Gorriz, J. Ramirez, J. Suckling, Ignacio Alvarez Illan, Andres Ortiz, F. J. Martinez-Murcia, Fermin Segovia, D. Salas-Gonzalez, Shuihua Wang
Pubblicato in: IEEE Access, Numero 5, 2017, Pagina/e 11468-11478, ISSN 2169-3536
Editore: 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

Autori: Ignacio Alvarez Illan, Javier Ramirez, J. M. Gorriz, Maria Adele Marino, Daly Avendano, Thomas Helbich, Pascal Baltzer, Katja Pinker, Anke Meyer-Baese
Pubblicato in: Contrast Media & Molecular Imaging, Numero 2018, 2018, Pagina/e 1-11, ISSN 1555-4309
Editore: 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

Autori: Ignacio Alvarez Illán, Anke Mayer-Baese, Amirhessam Tahmassebi, Javier Ramirez, Juan Manuel Gorriz, Katja Pinker, Simon Foo
Pubblicato in: Computational Imaging III, 2018, Pagina/e 31, ISBN 9781-510618503
Editore: SPIE
DOI: 10.1117/12.2304588

3D Gabor Filters for Chest Segmentation in DCE-MRI

Autori: I. A. Illan, J. Perez Matos, J. Ramirez, J. M. Gorriz, S. Foo, A. Meyer-Baese
Pubblicato in: Hybrid Artificial Intelligent Systems, 2018, Pagina/e 446-454
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-92639-1_37

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

Autori: I. A. Illan, J. Ramirez, J. M. Gorriz, K. Pinker, A. Meyer-Baese
Pubblicato in: International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, 2018, Pagina/e 221-229
Editore: 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

Autori: I. A. Illan, J. Ramirez, J. M. Gorriz, K. Pinker, A. Meyer-Baese
Pubblicato in: Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018, Pagina/e 124-131, ISBN 978-3-030-00946-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00946-5_14

Machine learning for challenging tumour detection and classification in breast cancer

Autori: I. Alvarez Illan, A. Meyer-Baese, J. Perez Matos, M. B. I. Lobbes, K. Pinker
Pubblicato in: epos, 2017
Editore: European society of radiology
DOI: 10.1594/ecr2017/C-3151