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State-of-Art Review on Medical Image Classification Techniques

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Decision Intelligence (InCITe 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1079))

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Abstract

Medical image is made of a pixel which shows a real-world object. In terms of understanding their relevance for insight, analysis and disease diagnosis, analysing medical image data techniques is difficult. Image categorization is a vital issue when performing image analysis tasks that is crucial to computer-aided diagnosis. To address the issue using methods and techniques available, we take advantage of the results of image processing, pattern identification as well as classification techniques and then confirming the image classification result using the expertise of medical experts. In addition to obtaining high accuracy, the primary concern of medical image classification is to ascertain which parts of the human body are affected by the disease. In this paper, we discussed a set of techniques involved in medical image classification. The primary goal of this paper is to compile the advancement done till now in medical image classification methods to increase the accuracy and sensitivity of the algorithm and how the classification algorithm evolves over a period of time.

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Author information

Authors and Affiliations

  1. National Institute of Technology, Kurukshetra, India

    Abhishek Bose & Ritu Garg

Authors
  1. Abhishek Bose
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  2. Ritu Garg
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Corresponding author

Correspondence to Abhishek Bose .

Editor information

Editors and Affiliations

  1. Innovation and Technology Foundation (IBITF), Indian Institute of Technology Bhilai, Sejbahar, Chhattisgarh, India

    B. K. Murthy

  2. Director, NIT Kurukshetra, Thanesar, Haryana, India

    B. V. R. Reddy

  3. Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India

    Nitasha Hasteer

  4. Department of Information System, University of Cape Town, Cape Town, South Africa

    Jean-Paul Van Belle

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Bose, A., Garg, R. (2023). State-of-Art Review on Medical Image Classification Techniques. In: Murthy, B.K., Reddy, B.V.R., Hasteer, N., Van Belle, JP. (eds) Decision Intelligence. InCITe 2023. Lecture Notes in Electrical Engineering, vol 1079. Springer, Singapore. https://doi.org/10.1007/978-981-99-5997-6_4

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