Enhancing Monkeypox Skin Lesion Detection: A Fusion Approach of VGG 16 and Xception Features with SVM Classifier

Author:

Muduli Debendra1,Naidu Amballa Vijay Sai Charan1,Durga Kondepudi Venkata1,Rahul K1,Kumar Majji Jayanth1,Sharma Santosh Kumar1

Affiliation:

1. C.V Raman Global University,Dept. of Computer Science & Engineering,Bhubaneswar,Odisha

Publisher

IEEE

Reference23 articles.

1. Monkeypox skin lesion detection using deep learning models: A feasibility study;Ali;arXiv,2022

2. Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16;Ahsan;arXiv,2022

3. Monkeypox Virus Detection Using Pre-trained Deep Learning-based Approaches

4. Classification of human Monkeypox disease using deep learning models and attention mechanisms;Haque;arXiv,2022

5. Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox;Saha;arXiv,2023

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