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Segmentation and Classification of Microcalcifications Using Digital Mammograms

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Innovations in Smart Cities Applications Edition 3 (SCA 2019)

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Abstract

For more than a decade, in the context of Microcalcifications detection, radiologists previously use traditional techniques to analyze mammographic images, which leads to a lower precision in the detection of lesions. The effective method of treating breast cancer is to detect it in early stages to increase the chances of cure and reduce the mortality rate, and to do this we propose in this paper to develop a computer aided diagnostic system (CAD) named Earlier Breast Cancer Computer Aided Detection (EBCCAD) which aim is to detect and classify breast cancer images and to replace the previous techniques already used to enhance radiologists performance in determining the pathologic-disease stage of Mccs and to discriminate between normal and abnormal tissues. The results obtained are promising given the rate of good classification obtained by the approaches proposed in the classification phase which lead us to evaluate the proposed system for real cases.

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Authors and Affiliations

  1. Laboratory of Information Processing and Decision Support Faculty of Sciences and Technics, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Ichrak Khoulqi & Najlae Idrissi

Authors
  1. Ichrak Khoulqi
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  2. Najlae Idrissi
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Corresponding authors

Correspondence to Ichrak Khoulqi or Najlae Idrissi .

Editor information

Editors and Affiliations

  1. Faculty of Sciences and Techniques of Tangier, Mediterranean Association of Sciences and Technologies, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

  3. Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal

    Domingos Santos

  4. Hassania School of Public Works, Casablanca, Morocco

    Mohamed El Aroussi

  5. Computer Engineering Department, Faculty of Engineering, Karabuk University, Karabük, Turkey

    İsmail Rakıp Karas

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Khoulqi, I., Idrissi, N. (2020). Segmentation and Classification of Microcalcifications Using Digital Mammograms. In: Ben Ahmed, M., Boudhir, A., Santos, D., El Aroussi, M., Karas, İ. (eds) Innovations in Smart Cities Applications Edition 3. SCA 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-37629-1_29

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  • DOI: https://doi.org/10.1007/978-3-030-37629-1_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37628-4

  • Online ISBN: 978-3-030-37629-1

  • eBook Packages: EngineeringEngineering (R0)

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