Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

Deep Learning:A Breakthrough in Medical Imaging - 2020

Research Area:  Machine Learning

Abstract:

Deep learning has attracted great attention in the medical imaging community as a promising solution for automated, fast and accurate medical image analysis, which is mandatory for quality healthcare. Convolutional neural networks and its variants have become the most preferred and widely used deep learning models in medical image analysis. In this paper, concise overviews of the modern deep learning models applied in medical image analysis are provided and the key tasks performed by deep learning models, i.e. classification, segmentation, retrieval, detection, and registration are reviewed in detail. Some recent researches have shown that deep learning models can outperform medical experts in certain tasks. With the significant breakthroughs made by deep learning methods, it is expected that patients will soon be able to safely and conveniently interact with AI-based medical systems and such intelligent systems will actually improve patient healthcare. There are various complexities and challenges involved in deep learning-based medical image analysis, such as limited datasets. But researchers are actively working in this area to mitigate these challenges and further improve health care with AI.

Author(s) Name:  Ahmad, Hafiz M.; Khan, Muhammad Jaleed; Yousaf, Adeel; Ghuffar, Sajid; Khurshid, Khurram

Journal name:  Current Medical Imaging

Conferrence name:  

Publisher name:   Bentham Science Publishers

DOI:  10.2174/1573405615666191219100824

Volume Information:  Volume 16, Number 8, 2020, pp. 946-956(11)