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Efficient Techniques for Detecting Malignant Tumor in Breast at an Early Stage: A Conceptual and Technological Review

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Advances in Mechanical Engineering

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Breast cancer is one of the most common forms of cancer occurring among the female population. The predominant medical examination used for breast cancer screening is mammography. Due to the malignant nature of breast cancer, the accuracy of the examining procedures becomes crucial especially when it is interlinked with the survival of human life. Mammography results are highly influenced by the false negatives cases due to the lack of an automated system that can screen the images correctly with accuracy. A false negative is considered an erroneous diagnosis by a doctor. The treatment of breast cancer is difficult as certain tumors have susceptible visibility, and it is visible only after the tumor has developed and has an increase in the size. Medical image processing is an important part of cancer detection that can provide useful clinical information about the structure, morphology, and metabolism for a successful investigation and treatment. Automated image processing techniques, deep learning techniques, and neural network techniques can aid in different stages related to cancer staging, the prognosis of the disease, and the suggestion of the appropriate treatment and therapy. The main drive of the research corresponds to finding the most efficient image processing techniques, deep learning techniques, and neural network techniques that can produce more accurate results, thus being able to aid the doctor to efficiently detect cancer at an early stage and assist in making successful clinical decisions.

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Authors and Affiliations

  1. Amity Institute of Information Technology, Lucknow, India

    Namrata Singh & Meenakshi Srivastava

  2. Amity University, Lucknow, India

    Namrata Singh & Meenakshi Srivastava

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  1. Namrata Singh
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  2. Meenakshi Srivastava
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Correspondence to Namrata Singh .

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Editors and Affiliations

  1. Department of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Roorkee, India

    Gaurav Manik

  2. Department of Chemistry, Army Cadet College, Indian Military Academy, Dehradun, Uttarakhand, India

    Susheel Kalia

  3. CSIR—National Institute for Interdisciplinary Science and Technology (NIIST), Thiruvananthapuram, Kerala, India

    Sushanta Kumar Sahoo

  4. School of Engineering and Technology, Shobhit University, Saharanpur, India

    Tarun K. Sharma

  5. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Om Prakash Verma

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Singh, N., Srivastava, M. (2021). Efficient Techniques for Detecting Malignant Tumor in Breast at an Early Stage: A Conceptual and Technological Review. In: Manik, G., Kalia, S., Sahoo, S.K., Sharma, T.K., Verma, O.P. (eds) Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-0942-8_7

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  • DOI: https://doi.org/10.1007/978-981-16-0942-8_7

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