Implementation of a Breast Cancer Early Detection System - Feroui, Amal;Lazouni, Mohammed Amine
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This work represents a significant advance in the field of early detection of breast cancer by implementing an innovative system based on advanced image processing methods. The approach adopted is of key importance in the context of aiding medical diagnosis through the analysis of medical imaging, focusing specifically on mammography. The innovative methods developed in this work are aimed at improving the accuracy and efficiency of early-stage detection of breast tumors. The uniqueness of this approach also lies in its rigorous validation on the basis of images from the "Mias" database,…mehr

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Produktbeschreibung
This work represents a significant advance in the field of early detection of breast cancer by implementing an innovative system based on advanced image processing methods. The approach adopted is of key importance in the context of aiding medical diagnosis through the analysis of medical imaging, focusing specifically on mammography. The innovative methods developed in this work are aimed at improving the accuracy and efficiency of early-stage detection of breast tumors. The uniqueness of this approach also lies in its rigorous validation on the basis of images from the "Mias" database, demonstrating its innovative potential and practical usefulness for the early detection of breast cancer.
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Autorenporträt
Amal Feroui ist Assistenzprofessorin an der Universität Tlemcen in Algerien.Sie promovierte 2014 am Labor für Biomedizintechnik der Universität Abou Bekr Belkaid in Tlemcen. Ihre Forschungsschwerpunkte sind medizinische Entscheidungsunterstützungssysteme, Klassifizierung, künstliche Intelligenz.