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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Bibliografische Detailangaben
Hauptverfasser:	Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, Akash Kumar Bhoi, Wonjoon Kim, James Jin Kang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2021-04-01
Schriftenreihe:	Sensors
Schlagworte:	skin disease MobileNet V2 Long Short-Term Memory (LSTM) deep learning neural network grey-level correlation
Online-Zugang:	https://www.mdpi.com/1424-8220/21/8/2852
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Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

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