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A Reliable and Effective Approach for Computerized Skin Disease Classification Using MobileNetV3 and LSTM

2025-08-04

Abstract excerpt

Deep learning models are highly effective at identifying features that facilitate the precise interpretation of complex patterns. This study introduces a deep learning-based approach using MobileNetV3 and long short-term memory (LSTM) for the automated classification of skin diseases. The MobileNetV3 model, which is compatible with mobile computing devices, has demonstrated both efficiency and reliability. The pro...

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Literature Corpus work
45aad085-95d4-5790-b20d-53ca6b5cfdb5
DOI
10.20944/preprints202508.0242.v1
Open publication

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A Reliable and Effective Approach for Computerized Skin Disease Classification Using MobileNetV3 and LSTMDOI 10.20944/preprints202508.0242.v1
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