RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection

RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection

Abstract Skin cancer, one of the most dangerous cancers, poses a significant global threat. While early detection can substantially improve survival rates, traditional dermatologists often face challenges in accurate diagnosis, leading to delays in treatment and avoidable fatalities. Deep learning m...

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Bibliographic Details
Main Authors: Farida Siddiqi Prity, Ahmed Jabid Hasan, Md Mehedi Hassan Anik, Rakib Hossain, Md. Maruf Hossain, Sazzad Hossain Bhuiyan, Md. Ariful Islam, Md Tousif Hasan Lavlu
Format: Article
Language:English
Published: Springer Nature 2024-09-01
Series:Human-Centric Intelligent Systems
Subjects:
Skin cancer
Dermatology
Deep learning
Convolutional neural networks
Hybrid models
Online Access:https://doi.org/10.1007/s44230-024-00083-1
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