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Deep Learning for Brain Tumor Segmentation and Classification: A Systematic Review of Methods and Trends

Year: 2025

Type: article

Abstract: This systematic review aims to comprehensively examine and compare deep learning methods for brain tumor segmentation and classification using MRI and other imaging modalities, focusing on recent trends from 2022 to 2025. The... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.069721

Authors: Ameer Hamza, Robertas Damaševičius

Institution: Kaunas University of Technology

Language: English

Topic: Brain Tumor Detection and Classification

Subfield: Neurology

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4415786640

FWCI: 3.237

Cites:

Cited by: 11

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