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Effective diagnosis of brain tumor classification by using novel DCNN

Brain tumors are the most grave and intricate diseases to be diagnosed and treated. In this study, a novel DCNN architecture is proposed. It has an end-to-end learning framework that automatically detects and refines relevant features directly from MRI images. The model will be trained and evaluated...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Ilyas Fakhir, Zeeshan Khalil, Awais Qasim, Umair Khalil
Format: Artigo
Sprache:Inglês
Veröffentlicht: Vladimir Andrunachievici Institute of Mathematics and Computer Science 2025-12-01
Schriftenreihe:Computer Science Journal of Moldova
Schlagworte:
brain tumor
diagnosis
deep convolutional neural network (dcnn)
medical imaging automation
transfer learning models
Online-Zugang:https://www.math.md/files/csjm/v33-n3/v33-n3-(pp302-321).pdf
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