Optimal artificial intelligence based automated skin lesion detection and classification model

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  • who: R. Surendran from the Faculty of Engineering and the Built Environment, Department of Electrical and Electronics Engineering Technology, University of Johannesburg, Johannesburg, South Africa have published the Article: Optimal Artificial Intelligence Based Automated Skin Lesion Detection and Classification Model, in the Journal: (JOURNAL)
  • what: This study designs a novel skin lesion diagnosis model using an optimized stacked sparse autoencoder (OSSAE) with a backpropagation neural_network (BPNN), named the OSSAE-BPNN model. F-score VGG-16 VGG-19 MN-v1 MN-v2 R.NET-50 D.NET-201 Inception-V3 Xception model OSSAE-BPNN This study . . .

     

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