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International Conference on Recent Developments in Science, Engineering and Technology

REDSET 2017: Data Science and Analytics pp 139–155Cite as

A Survey of Techniques Used in Processing and Mining of Medical Images

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 799))

Abstract

Medical image processing is the method to enhance and derive meaningful information from digital medical images. Large collection of medical images has led to the rise in some medical information retrieval system whose aim is storing images, retrieval of images, pattern reorganization etc. All of these are done so that some useful knowledge and information might be derived from them. If proper information can be retrieved from the images, it will help in diagnosis, research and education. This paper studies the various image processing and image mining techniques applied on medical images and their utility. This paper helps to understand the different techniques used in different phases of medical image processing and mining like pre-processing, feature extraction, segmentation, classification, indexing, storing and retrieval. This paper concludes by providing possible directions in future work.

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Authors and Affiliations

  1. Amity Institution of Information Technology, Amity University, Noida, Uttar Pradesh, India

    Sudhriti Sengupta & Neetu Mittal

  2. Yashoda Super Specialty Hospital, Vaishali, Uttar Pradesh, India

    Megha Modi

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  1. Sudhriti Sengupta
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  2. Neetu Mittal
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  3. Megha Modi
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Correspondence to Sudhriti Sengupta .

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Editors and Affiliations

  1. University of Arkansas, Fayetteville, AR, USA

    Brajendra Panda

  2. GD Goenka University, Gurugram, Haryana, India

    Sudeep Sharma

  3. GD Goenka University, Gurugram, Haryana, India

    Nihar Ranjan Roy

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Sengupta, S., Mittal, N., Modi, M. (2018). A Survey of Techniques Used in Processing and Mining of Medical Images. In: Panda, B., Sharma, S., Roy, N. (eds) Data Science and Analytics. REDSET 2017. Communications in Computer and Information Science, vol 799. Springer, Singapore. https://doi.org/10.1007/978-981-10-8527-7_13

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