Construction of adaptive pulse coupled neural network for abnormality detection in medical images
In this article, we propose a customized pulse coupled neural network for image segmentation to detect the different classes of skin lesions by minimizing the number of pixels as image harmonics. In addition, we have used a distribution similar to primary visual cortex for internal activation functi...
Main Authors: | Pawan Kumar Upadhyay, Satish Chandra |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2018-05-01
|
Series: | Applied Artificial Intelligence |
Online Access: | http://dx.doi.org/10.1080/08839514.2018.1481818 |
Similar Items
-
Brain medical image fusion scheme based on shuffled frog‐leaping algorithm and adaptive pulse‐coupled neural network
by: Yu Miao, et al.
Published: (2021-05-01) -
Coherent convolution neural network based retinal disease detection using optical coherence tomographic images
by: Pawan Kumar Upadhyay, et al.
Published: (2022-11-01) -
Image processing using pulse-coupled neural networks /
by: 261851 Lindblad, T., et al.
Published: (2005) -
Multichannel pulse-coupled-neural-network-based color image segmentation for object detection
by: Zhuang, Hualiang., et al.
Published: (2013) -
Pulse Coupled Neural Network based Near-Duplicate Detection of Images (PCNN - NDD)
by: THYAGHARAJAN, K. K., et al.
Published: (2018-08-01)