Breast cancer diagnosis based on joint variable selection and Constructive Deep Neural Network

Ryad Zemouri; N. Omri; C. Devalland; L. Arnould; B. Morello; N. Zerhouni; F. Fnaiech

doi:10.1109/MECBME.2018.8402426

Conference papers

Breast cancer diagnosis based on joint variable selection and Constructive Deep Neural Network

Ryad Zemouri ¹ N. Omri ² C. Devalland ³ L. Arnould ⁴ B. Morello ² N. Zerhouni ² F. Fnaiech ⁵

1 CEDRIC - LAETITIA - CEDRIC. Traitement du signal et architectures électroniques

CEDRIC - Centre d'études et de recherche en informatique et communications

2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

3 CH Belfort-Montbéliard

4 Service d'Ophtalmologie (CHU de Dijon)

5 ENIT - Ecole Nationale d'Ingénieurs de Tunis

Document type :

Conference papers

Domain :

Computer Science [cs] / Machine Learning [cs.LG]

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https://hal-cnam.archives-ouvertes.fr/hal-02465962
Contributor : Ryad Zemouri Connect in order to contact the contributor
Submitted on : Tuesday, February 4, 2020 - 11:19:09 AM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM

Breast cancer diagnosis based on joint variable selection and Constructive Deep Neural Network

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Breast cancer diagnosis based on joint variable selection and Constructive Deep Neural Network

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