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Detail Study of Different Algorithms for Early Detection of Cancer

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Health Informatics: A Computational Perspective in Healthcare

Part of the book series: Studies in Computational Intelligence ((SCI,volume 932))

Abstract

Cancer is one of the most dangerous disease in human life. Diagnosing the cancer cell in early stages plays an important (valuable) role in saving human life and for successful treatment. At an early stage the spreading of cancer cells of the body can be stopped by removing the benign cells (cancer cells in the early stage). Whereas, malignant tumor (cancer cells in later stages) which are having aggressive spreading capacity, affects different other parts of the body and cannot be controlled. This paper presents a study on five different types of cancer viz., breast, brain, lung, liver and skin; and different published techniques of detecting these cancers, which help the students (researcher) to understand the current ongoing techniques and aids to develop new structure that gives better and accurate result. It also focuses on different segmentation (ACM, PSO, UNet, watershed etc), cancer feature extraction, cancer features reduction (PCA, LDA, SVD). Also, it discusses different cancer classification using machine learning and clustering (SVM, KNN, Bayesian, Neuro fuzzy, k-mean algorithm, GANs etc.), deep learning (CNN, ResNet, VGG etc) technique, also discuss about different evaluating method.

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Authors and Affiliations

  1. Computer Science and Engineering, National Institute of Technology Silchar, Silchar, India

    Prasenjit Dhar, K. Suganya Devi & Satish Kumar Satti

  2. Physics, National Institute of Technology, Silchar, India

    P. Srinivasan

Authors
  1. Prasenjit Dhar
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  2. K. Suganya Devi
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  3. Satish Kumar Satti
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  4. P. Srinivasan
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Correspondence to K. Suganya Devi .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Ripon Patgiri

  2. Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Anupam Biswas

  3. Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Pinki Roy

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Dhar, P., Suganya Devi, K., Satti, S.K., Srinivasan, P. (2021). Detail Study of Different Algorithms for Early Detection of Cancer. In: Patgiri, R., Biswas, A., Roy, P. (eds) Health Informatics: A Computational Perspective in Healthcare. Studies in Computational Intelligence, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-15-9735-0_12

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