A deep learning based approach for automated skin disease detection using Fast R-CNN
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9702520/9702537/09702567.pdf?arnumber=9702567
Reference19 articles.
1. Discriminative Feature Learning for Skin Disease Classification Using Deep Convolutional Neural Network
2. Skin Disease Diagnosis from Photographs Using Deep Learning
3. Early detection of skin cancer using deep learning architectures: resnet-101 and inception-v3
4. Classification of Skin Disease from Skin images using Transfer Learning Technique
5. Knowledge transfer for melanoma screening with deep learning
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1. 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
2. Skin-Vision: An Innovative Mobile-Based Automated Skin Disease Detection Application;2023 OITS International Conference on Information Technology (OCIT);2023-12-13
3. A Dense Sample Surface Defect Detection Algorithm Based on Deep Learning and Thread Pool;2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC);2023-11-17
4. Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review;Diagnostics;2023-10-07
5. Identification and Classification of Diseases Based on Object Detection and Majority Voting of Bounding Boxes;Journal of Advances in Information Technology;2023
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