Prediction of skin diseases using grab cut based segmentation with hybrid SCH feature extraction and optimized RBFN algorithm-Reference-Cited by-同舟云学术

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Prediction of skin diseases using grab cut based segmentation with hybrid SCH feature extraction and optimized RBFN algorithm

Published:2024-10 Issue: Volume:96 Page:106558
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Lins Joy Y.,Jerine S.

Publisher

Elsevier BV

Reference36 articles.

1. Impact of gut microbiome on skin health: Gut-skin axis observed through the lenses of therapeutics and skin diseases;Mahmud;Gut Microbes,2022

2. NRF2 in dermo-cosmetic: From scientific knowledge to skin care products;Frantz;Biofactors,2023

3. Non-melanoma skin cancers: Physio-pathology and role of lipid delivery systems in new chemotherapeutic treatments;Souto;Neoplasia,2022

4. Detection of clinical and subclinical lumpy skin disease using ear notch testing and skin biopsies;Aerts;Microorganisms,2021

5. A machine learning approach for skin disease detection and classification using image segmentation;Ahammed;Healthcare Analytics,2022

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