An Automated approach to detect & diagnosis the type of Cosmetic Skin & its Disease using Machine Learning-Reference-Cited by-同舟云学术

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An Automated approach to detect & diagnosis the type of Cosmetic Skin & its Disease using Machine Learning

Published:2022-10-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)
language:
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Author:

Borade Shwetambari¹,Kalbande Dhananjay²,Jakaria Hemangi³,Patil Linesh⁴

Affiliation:

1. Information Technology, Cyber Security Thadomal Shahani Engineering College, Shah & Anchor Kutchhi Engineering College,Mumbai,India

2. Bhartiya Vidya Bhavan's Sardar Patel Institute of Technology (S.P.I.T),Department of Computer Engineering,Mumbai,India

3. Shah & Anchor Kutchhi Engineering College,Department of Information Technology,Mumbai,India

4. Shah & Anchor Kutchhi Engineering College,Department of Computer Engineering,Mumbai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9971791/9971808/09972205.pdf?arnumber=9972205

Reference26 articles.

1. Pigment network-based skin cancer detection

2. Image based skin disease detection using hybrid neural network coupled bag-of-features

3. Design and implementation of high speed Gabor filter with variable thresholding process for disease detection

4. Evaluating and Enhancing the Performance of Skin Disease Classification Based on Ensemble Methods

5. Survey of texture based feature extraction for skin disease detection

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cosmetics Recommendation System Based on Ingredients Using Cosine Similarity;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

2. A Bayesian approach using spatiotemporal features for suitable next hop selection in opportunistic networks;International Journal of Communication Systems;2024-02-26

3. Artificial Intelligence in Cosmetic Dermatology: A Systematic Literature Review;IEEE Access;2023

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