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: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-05-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2018.1481818 |
| _version_ | 1797684908532957184 |
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| author | Pawan Kumar Upadhyay Satish Chandra |
| author_facet | Pawan Kumar Upadhyay Satish Chandra |
| author_sort | Pawan Kumar Upadhyay |
| collection | DOAJ |
| description | 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 function. This helps in transforming the visual behavior of the cortex. The developed neural synchrony of adaptive pulse coupled neural network helps in classifying the lesion patterns in dermoscopy images. We evaluate our proposed approach on 240 gold standard dermofit images of lesions. Our results have shown significant improvement in the accuracy and efficiency when compared with existing methods. |
| first_indexed | 2024-03-12T00:36:33Z |
| format | Article |
| id | doaj.art-cd894c2f7e2d4e349dec61473713a21e |
| institution | Directory Open Access Journal |
| issn | 0883-9514 1087-6545 |
| language | English |
| last_indexed | 2024-03-12T00:36:33Z |
| publishDate | 2018-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Artificial Intelligence |
| spelling | doaj.art-cd894c2f7e2d4e349dec61473713a21e2023-09-15T09:33:56ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452018-05-0132547749510.1080/08839514.2018.14818181481818Construction of adaptive pulse coupled neural network for abnormality detection in medical imagesPawan Kumar Upadhyay0Satish Chandra1Jaypee Institute of Information TechnologyJaypee Institute of Information TechnologyIn 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 function. This helps in transforming the visual behavior of the cortex. The developed neural synchrony of adaptive pulse coupled neural network helps in classifying the lesion patterns in dermoscopy images. We evaluate our proposed approach on 240 gold standard dermofit images of lesions. Our results have shown significant improvement in the accuracy and efficiency when compared with existing methods.http://dx.doi.org/10.1080/08839514.2018.1481818 |
| spellingShingle | Pawan Kumar Upadhyay Satish Chandra Construction of adaptive pulse coupled neural network for abnormality detection in medical images Applied Artificial Intelligence |
| title | Construction of adaptive pulse coupled neural network for abnormality detection in medical images |
| title_full | Construction of adaptive pulse coupled neural network for abnormality detection in medical images |
| title_fullStr | Construction of adaptive pulse coupled neural network for abnormality detection in medical images |
| title_full_unstemmed | Construction of adaptive pulse coupled neural network for abnormality detection in medical images |
| title_short | Construction of adaptive pulse coupled neural network for abnormality detection in medical images |
| title_sort | construction of adaptive pulse coupled neural network for abnormality detection in medical images |
| url | http://dx.doi.org/10.1080/08839514.2018.1481818 |
| work_keys_str_mv | AT pawankumarupadhyay constructionofadaptivepulsecoupledneuralnetworkforabnormalitydetectioninmedicalimages AT satishchandra constructionofadaptivepulsecoupledneuralnetworkforabnormalitydetectioninmedicalimages |