Brain tumor detection and segmentation using deep learning

Objectives Brain tumor detection, classification and segmentation are challenging due to the heterogeneous nature of brain tumors. Different deep learning-based algorithms are available for object detection; however, the performance of detection algorithms on brain tumor data has not been widely exp...

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Bibliographic Details
Published in:	Magma (New York, N.Y.) Vol. 38; no. 1; pp. 13 - 22
Main Authors:	Ahsan, Rafia, Shahzadi, Iram, Najeeb, Faisal, Omer, Hammad
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.02.2025
Subjects:	Algorithms Basic Science - Image analysis Biomedical Engineering and Bioengineering Brain - diagnostic imaging Brain Neoplasms - diagnostic imaging Computer Appl. in Life Sciences Databases, Factual Deep Learning Glioma - diagnostic imaging Health Informatics Humans Image Interpretation, Computer-Assisted - methods Image Processing, Computer-Assisted - methods Imaging Magnetic Resonance Imaging Medicine Medicine & Public Health Neural Networks, Computer Radiology Research Article Solid State Physics Brain tumor Deep learning Magnetic resonance imaging (MRI) Segmentation Detection Classification
ISSN:	1352-8661, 1352-8661
Online Access:	Get full text
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