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Medical Image Analysis using Convolutional Neural Networks: A Review

  • Image & Signal Processing
  • Published:
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Abstract

The science of solving clinical problems by analyzing images generated in clinical practice is known as medical image analysis. The aim is to extract information in an affective and efficient manner for improved clinical diagnosis. The recent advances in the field of biomedical engineering have made medical image analysis one of the top research and development area. One of the reasons for this advancement is the application of machine learning techniques for the analysis of medical images. Deep learning is successfully used as a tool for machine learning, where a neural network is capable of automatically learning features. This is in contrast to those methods where traditionally hand crafted features are used. The selection and calculation of these features is a challenging task. Among deep learning techniques, deep convolutional networks are actively used for the purpose of medical image analysis. This includes application areas such as segmentation, abnormality detection, disease classification, computer aided diagnosis and retrieval. In this study, a comprehensive review of the current state-of-the-art in medical image analysis using deep convolutional networks is presented. The challenges and potential of these techniques are also highlighted.

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Authors and Affiliations

  1. Department of Software Engineering, University of Engineering and Technology Taxila, Taxila, 47050, Pakistan

    Syed Muhammad Anwar

  2. Department of Computer Engineering, University of Engineering and Technology Taxila, Taxila, 47050, Pakistan

    Muhammad Majid & Adnan Qayyum

  3. Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK

    Muhammad Awais

  4. Department of Nuclear Engineering, King Abdul Aziz University, Jeddah, Saudi Arabia

    Majdi Alnowami

  5. Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, 11653, Saudi Arabia

    Muhammad Khurram Khan

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Correspondence to Muhammad Majid.

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Anwar, S.M., Majid, M., Qayyum, A. et al. Medical Image Analysis using Convolutional Neural Networks: A Review. J Med Syst 42, 226 (2018). https://doi.org/10.1007/s10916-018-1088-1

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