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Segmentation and Extraction of MR Images using PCNN
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Segmentation and Extraction of MR Images using PCNN Paperback -

by Jibanananda Mehena

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Image segmentation is described as partitioning an image into a finite number of semantically non-overlapping regions. In medical applications, it is a fundamental process in most systems that support medical diagnosis, surgical planning and treatments. Generally, this process is done manually by clinicians, which may be time-consuming and tedious. To alleviate the problem, a number of interactive segmentation methods have been proposed. Pulse Coupled Neural Networks (PCNN) is a self-organizing network that does not require training and the network was constructed by simulating the activities of the mammal's visual cortex neurons. PCNN is unique from other techniques due to its synchronous pulsed output, adjustable threshold and controllable parameters. The visual cortex system of mammalians was the backbone for the development of PCNN. Cat's and guinea pig's visual cortex helped in developing some digital models. Research is going on image segmentation techniques in medical field using PCNN. This book described a comprehensive idea for the segmentation of MR Images based on Pulse Coupled Neural Networks

Details

  • Title Segmentation and Extraction of MR Images using PCNN
  • Author Jibanananda Mehena
  • Binding Paperback
  • Pages 56
  • Volumes 1
  • Language ENG
  • Publisher LAP Lambert Academic Publishing
  • ISBN 9786200326355 / 6200326355
  • Weight 0.21 lbs (0.10 kg)
  • Dimensions 9 x 6 x 0.13 in (22.86 x 15.24 x 0.33 cm)
  • Category Sociology

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Segmentation and Extraction of MR Images using PCNN: Medical Image Analysis
Stock photo: cover may vary

Segmentation and Extraction of MR Images using PCNN: Medical Image Analysis

by Mehena, Jibanananda

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ISBN 10 / ISBN 13
9786200326355 / 6200326355
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paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Item price
A$106.45
Free Delivery to USA