Ensemble of Pre-Learned Deep Learning Model and an Optimized LSTM for Alopecia Areata Classification

October 2023 in “ Journal of Intelligent & Fuzzy Systems ”

C. Saraswathi, B. Pushpa

Alopecia Areata deep learning Long Short-Term Memory LSTM Computer Aided Diagnosis CAD Convolutional Neural Network CNN AlexNet ResNet InceptionNet Battle Royale Optimization fuzzy-softmax Figaro1k DermNet AA

Studysummary This study proposed and tested an Ensemble Pre-Learned Deep Learning and Optimized Long Short-Term Memory (EPL-OLSTM) model for classifying Alopecia Areata, achieving a 93.1% accuracy in differentiating healthy from varying severity levels of AA scalp hair using specific datasets.

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