MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data

MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data

The existing methods for accurate brain tumor (BT) segmentation based on homogeneous datasets show significant performance degradation in actual clinical applications and lacked heterogeneous data analysis. To address these issues, we designed a deep learning-based multiscale dilated features up-sam...

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Bibliographic Details
Main Authors: Haseeb Sultan, Muhammad Owais, Se Hyun Nam, Adnan Haider, Rehan Akram, Muhammad Usman, Kang Ryoung Park
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Brain tumor
Computer-aided diagnosis
Deep learning
Heterogeneous data
MDFU-Net
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823001064

Internet

http://www.sciencedirect.com/science/article/pii/S1319157823001064

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