Skin Disease Classification Using Inception-ResNetV2 and Data Augmentation
Author:
Affiliation:
1. New York University,Department of Computer Science,New York,US
2. The George Washington University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9730106/9730125/09730242.pdf?arnumber=9730242
Reference13 articles.
1. Comparison of Machine Learning Algorithms for Skin Disease Classification Using Color and Texture Features
2. Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Images
3. Dermatologist-level classification of skin cancer with deep neural networks
4. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning;szegedy;AAAI Conference on Artificial Intelligence,2017
5. Skin disease detection and segmentation using dynamic graph cut algorithm and classification through Naive Bayes classifier
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1. Developing an Advanced Skin Disease Detection System by Integrating Hybrid Neural Network with Yolo V8 Model;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18
2. Skin Disease Classification using Transfer Learning with a Modified ResNet-50 Architecture;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18
3. Skin Disease Prediction Using Machine Learning Techniques;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04
4. Skin Disease Classification Using CNN Algorithms;EAI Endorsed Transactions on Pervasive Health and Technology;2023-10-02
5. Identification Of Different Chronic Skin Conditions Using Deep Convolutional Neural Networks;2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT);2023-05-05
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