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A deep learning-based model named eXtended Convolutional Neural Network (XCNN) has been proposed to classify three types of skin diseases (ie, acne, rosacea, ...
In this paper, a deep learning-based model named eXtended Convolutional Neural Network (XCNN) has been proposed to classify three types of skin diseases (i.e., ...
A deep learning-based model named eXtended Convolutional Neural Network (XCNN) has been proposed to classify three types of skin diseases (i.e., acne, ...
Analyzing Skin Disease Using XCNN (eXtended Convolutional Neural ...
dl.acm.org › doi › IJSSCI.309708
Sep 22, 2022 · It will help clinicians to identify and categorize such diseases at the initial stage through automated screening. The proposed work is designed ...
Itgives95.67%accuracyinrecognizingthediseaseswithimprovedrecall,f1-score,and precisionvaluescomparedtootherstate-of-the-artmodels. KeywoRdS.
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XCNN is easy-to-use, economic, and accurate. It will help clinicians to identify and categorize such diseases at the initial stage through automated screening.
This research proposed an efficient solution for skin disease recognition by implementing Convolutional Neural Network (CNN) architectures.
Missing: XCNN | Show results with:XCNN
In this paper, a deep learning-based model named eXtended Convolutional Neural Network (XCNN) has been proposed to classify three types of skin diseases (i.e., ...
Itgives95.67%accuracyinrecognizingthediseaseswithimprovedrecall,f1-score,and precisionvaluescomparedtootherstate-of-the-artmodels. KeywoRdS.