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Digital Mammogram Database Classification using improved Artificial Immune System

Abstract : Digital Database for Screening Mammography (DDSM) is an invaluable resource that has been widely used for digital mammography research. The primary purpose of the database is to facilitate research in the development of computer algorithms to aid in screening mammography and the development of teaching or training aids. In the last decade, several techniques of artificial intelligence proved their skills in the field of classification of cancer cells. In this aim, and to improve the classification of DDSM database, we propose in this article an improvement of CLONALG algorithm, which is based on Artificial Immune System (AIS) principle.
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https://www.hal.inserm.fr/inserm-01144523
Contributor : Frédérique Frouin <>
Submitted on : Tuesday, April 21, 2015 - 7:46:21 PM
Last modification on : Tuesday, June 30, 2020 - 11:56:08 AM
Long-term archiving on: : Wednesday, April 19, 2017 - 2:18:21 AM

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  • HAL Id : inserm-01144523, version 1

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Rima Daoudi, Khalifa Djemal, Abdelkader Benyettou. Digital Mammogram Database Classification using improved Artificial Immune System. Journées RITS 2015, Mar 2015, Dourdan, France. p164-165. ⟨inserm-01144523⟩

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