Quantum computational infusion in extreme learning machines for early multi-cancer detection

Quantum computational infusion in extreme learning machines for early multi-cancer detection

Abstract A timely and accurate cancer diagnosis is essential for improving treatment outcomes. This study presents a hybrid model integrating Extreme Learning Machine (ELM) with FuNet transfer learning, applied on a multi-cancer dataset and optimized using the Quantum-Genetic Binary Grey Wolf Optimi...

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Bibliographic Details
Main Authors: Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Haixia Long
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:Journal of Big Data
Subjects:
Multi cancer diagnosis
Grey Wolf Optimization
Extreme learning machine (ELM)
Feature fusion
Online Access:https://doi.org/10.1186/s40537-024-01050-0
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