Performance evaluation of E-VGG19 model: Enhancing real-time skin cancer detection and classification-Reference-Cited by-同舟云学术

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Performance evaluation of E-VGG19 model: Enhancing real-time skin cancer detection and classification

Published:2024-05 Issue:10 Volume:10 Page:e31488
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Kandhro Irfan Ali,Manickam Selvakumar,Fatima Kanwal,Uddin Mueen^ORCID,Malik Urooj,Naz Anum,Dandoush Abdulhalim^ORCID

Funder

Qatar National Library

Publisher

Elsevier BV

Reference79 articles.

1. Insufficient evidence for screening reinforces need for primary prevention of skin cancer;de Vere Hunt;JAMA Intern. Med.,2023

2. A comparative study of features selection for skin lesion detection from dermoscopic images;Javed;Network Modeling Analysis in Health Informatics and Bioinformatics,2020

3. An improved VGG model for skin cancer detection;Tabrizchi;Neural Process. Lett.,2023

4. A comparative study of deep learning architectures on melanoma detection;Kassani;Tissue Cell,2019

5. Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art;Adegun;Artif. Intell. Rev.,2021

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1. Deep learning based multimodal biomedical data fusion: An overview and comparative review;Information Fusion;2024-12

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