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Multiclass Classification of Histology Images of Breast Cancer Using Improved Deep Learning Approach

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Applications of Artificial Intelligence and Machine Learning

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 778))

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Abstract

Breast Cancer has become a serious threat to women life in the overall word. It is necessary to diagnosis for Breast cancer early to avoid mortality rate. In the era of medical imagining with the advent of Artificial Intelligence systems, it has become easy to detect breast cancer at an early stage. Histopathology image modality is one of the best ways for breast cancer detection as it is easy to store in digital format for a long time. Breast cancer is classified into two main categories one is benign and malignant. These two classes are further divided into subclasses. In this paper, we have proposed an improved deep learning model for breast cancer multiclass classification. This proposed model uses a two-level approach one is blocked based and image-based. The blocked based approach is used to reduce overhead with lower-cost processing. Here ensemble learning approach is used for feature extraction which is a combined approach of the various pre-trained model without negotiating accuracy of the system. Final classification is done based on image based improved deep learning approach into eight classes.

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Authors and Affiliations

  1. Ramrao Adik Institute of Technology, D Y Patil University, Navi Mumbai, India

    Jyoti Kundale

  2. Rajiv Gandhi Institute of Technology, University of Mumbai, Mumbai, India

    Jyoti Kundale

  3. Sardar Patel Institute of Technology, University of Mumbai, Mumbai, India

    Sudhir Dhage

Authors
  1. Jyoti Kundale
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  2. Sudhir Dhage
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sharda University, Greater Noida, Uttar Pradesh, India

    Ankur Choudhary

  2. Department of Computer Science and Engineering, Sharda University, Greater Noida, Uttar Pradesh, India

    Arun Prakash Agrawal

  3. Asia Pacific Centre for Analytics (APCA), Asia Pacific University of Technology and Innovation (APU), Kuala Lumpur, Malaysia

    Rajasvaran Logeswaran

  4. Information Technology, University of South Florida Sarasota–Manatee Campus, Sarasota, FL, USA

    Bhuvan Unhelkar

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Kundale, J., Dhage, S. (2021). Multiclass Classification of Histology Images of Breast Cancer Using Improved Deep Learning Approach. In: Choudhary, A., Agrawal, A.P., Logeswaran, R., Unhelkar, B. (eds) Applications of Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering, vol 778. Springer, Singapore. https://doi.org/10.1007/978-981-16-3067-5_34

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  • DOI: https://doi.org/10.1007/978-981-16-3067-5_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-3066-8

  • Online ISBN: 978-981-16-3067-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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