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A Study of Breast Cancer Identification with Deep Learning Techniques

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Information and Communication Technology for Competitive Strategies (ICTCS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 615))

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Abstract

Breast cancer is currently the utmost often analysed malice in females, and number of cases is steadily rising. If breast cancer is detected and treated early enough, there is a high possibility of a positive outcome. As a result, some researchers have developed deep automated algorithms for forecasting the development of cancer cells using medical imaging modalities for their efficiency and accuracy. There are currently just an insufficient review papers on breast cancer identification that synthesise about the previous trainings. These investigations, however, were impotent to report new structures and modalities in the discovery of breast cancer. The changing structural design for deep learning-based breast cancer identification is the subject of this review. This assessment explores the merits and drawbacks of existing deep learning structures, investigates the datasets employed, and assesses picture pre-processing approaches in the sections that follow. A detailed overview of several modalities of medical images, performance measures and findings, obstacles, and investigation prospects for forthcoming researchers is also provided.

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Authors and Affiliations

  1. Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India

    D. Sujitha Priya & V. Radha

Authors
  1. D. Sujitha Priya
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  2. V. Radha
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Correspondence to D. Sujitha Priya .

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Editors and Affiliations

  1. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  2. School of Computer Science, Shaanxi Normal University, **'an, China

    Juanying **e

  3. Jaipur Engineering College and Research Centre, Jaipur, India

    Vijay Singh Rathore

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Sujitha Priya, D., Radha, V. (2023). A Study of Breast Cancer Identification with Deep Learning Techniques. In: Kaiser, M.S., **e, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2022). Lecture Notes in Networks and Systems, vol 615. Springer, Singapore. https://doi.org/10.1007/978-981-19-9304-6_67

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  • DOI: https://doi.org/10.1007/978-981-19-9304-6_67

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