AN ERYTHEMATO SQUAMOUS DISEASE (ESD) DETECTION USING DBN TECHNIQUE
Author:
Affiliation:
1. Vels Institute of Science Technology & Advanced Studies (VISTAS),Department of ECE,Chennai,India
2. Vel Tech Multi Tech Dr. Rangarajan, Dr. Sakunthala Engineering College,Department of ECE,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9767722/9767723/09768010.pdf?arnumber=9768010
Reference9 articles.
1. Deep Learning–Based Methods for Automatic Diagnosis of Skin Lesions
2. A hybrid dermoscopy images segmentation approach based on neutrosophic clustering and histogram estimation
3. Analysis of Melanoma Lesion Images using Feature Extraction & Classification Algorithms;manjunath;International Journal of Recent Technology and Engineering,2020
4. Derma Net: An Automated Skin Lesion Analyzer using CNN with Adaptive Learning
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1. Advancing Erythemato-Squamous Disease Classification with Multi-class Machine Learning;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11
2. The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer;Healthcare;2023-02-01
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