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Identification of Skin Diseases using Parallel Convolutional Neural Networks
Ashwath Nivas M,  Pon Sankar G,  Yedhu Krishnan B,  Dr. P. Pritto Paul
Global Warming and Climate change has caused an increase in the number of people getting affected by Skin Diseases by a significant amount. However, diagnosing the Skin Diseases correctly is a challenging task. Deep Learning poses a solution to the problem of Identification of Skin Diseases. Considering the features of recently emerged Deep Learning Models in Convolutional Neural Network Architecture such as AlexNet, ResNet, MobileNetV1 which does a significant work by remembering the correct characteristics of the Image and Parallel Convolutional Neural Networks which gathers the diverse characteristics of the Image. The combined the use of both the architectures of Parallel Convolutional Neural Network with Deep Convolutional Neural Network branches to process the Image holds the key to analysis and accurate prediction. This ensemble approach has led to significant rise in performance of Deep Learning Model and correct Identification of unseen real-world data. Upon Training this model with Skin Disease Image Data we have developed a model to be used for skin disease detection.
Keywords- Deep Learning, Parallel Convolutional Neural Network, Skin Diseases
Unique Identification Number - IJEDR2102005Page Number(s) - 33-37Pubished in - Volume 9 | Issue 2 | April 2021DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Ashwath Nivas M,  Pon Sankar G,  Yedhu Krishnan B,  Dr. P. Pritto Paul,   "Identification of Skin Diseases using Parallel Convolutional Neural Networks"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 2, pp.33-37, April 2021, Available at :http://www.ijedr.org/papers/IJEDR2102005.pdf