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...
Main Authors: | Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Dilip Kumar Bagal, Sachin Kumar |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
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Series: | Computers |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-431X/11/1/10 |
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Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. <i>Computers</i> 2022, <i>11</i>, 10
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