Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process of classifying skin disease through deep learning-based MobileNet V2 and Long Short Term Memory (LSTM). The MobileNet V2 model proved to be...

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Bibliographic Details
Main Authors: Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, Akash Kumar Bhoi, Wonjoon Kim, James Jin Kang
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
skin disease
MobileNet V2
Long Short-Term Memory (LSTM)
Deep Learning
neural network
grey-level correlation
Online Access:https://www.mdpi.com/1424-8220/21/8/2852

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