Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches

Deep learning has surged in popularity in recent years, notably in the domains of medical image processing, medical image analysis, and bioinformatics. In this study, we offer a completely autonomous brain tumour segmentation approach based on deep neural networks (DNNs). We describe a unique CNN ar...

Full description

Bibliographic Details
Main Authors: Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Dilip Kumar Bagal, Sachin Kumar
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Computers
Subjects:
deep learning
parametric optimization
metaheuristic approaches
brain tumour
Online Access:https://www.mdpi.com/2073-431X/11/1/10

Internet

https://www.mdpi.com/2073-431X/11/1/10

Similar Items