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Cognitive Informatics and Soft Computing pp 1–10Cite as

Multi-tumor Detection and Analysis Based on Advance Region Quantitative Approach of Breast MRI

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 768))

Abstract

The proposed Advance Region Quantitative Approach (ARQA) method is used for Breast multi-tumor region segmentation which helps in decease detection and also detects the multi-tumors in different scenarios. The present approach uses the existing preprocessing methods and filters for effectual extraction and analysis of MRI images. The mass regions are well segmented and further classified as malignant disease by computing texture features based on vision gray-level co-occurrence matrices (VGCMs) and logistic regression method. The proposed algorithm is an easy approach for doctors and physicians to provide easy option for medical image analysis.

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Author information

Authors and Affiliations

  1. DRK College of Engineering and Technology, Hyderabad, TS, India

    U. Ravi Babu

Authors
  1. U. Ravi Babu
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Correspondence to U. Ravi Babu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India

    Pradeep Kumar Mallick

  2. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Rangpo, India

    Akash Kumar Bhoi

  4. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, United Kingdom

    Ahmed F. Zobaa

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Babu, U.R. (2019). Multi-tumor Detection and Analysis Based on Advance Region Quantitative Approach of Breast MRI. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_1

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