Brain Tumor Classification for MRI-CT Fused Images using NAS-Optimized Bio-Inspired PSO Algorithm

Healthcare sector plays a vital role in industry contributing for the tremendous success of deep learning algorithms in the field of image processing in recent years. Medical image processing requires high accuracy in data prediction and classification that, brings up huge benefits to the healthcare...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	2025 9th International Conference on Inventive Systems and Control (ICISC) S. 885 - 891
Hauptverfasser:	B, Ajith Jerom, S, Sarathambekai
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.08.2025
Schlagworte:	Accuracy Biological system modeling Biomedical imaging Brain tumors Classification algorithms Deep learning EfficientB0 Image Fusion Improved Chimp Optimization Algorithm (ICHOA) Neural architecture search Neural Architecture Search (NAS) Optimization Particle swarm optimization Particle Swarm Optimization (PSO) Wavelet Transform Fusion Wavelet transforms
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!