Multimodal Stereotactic Brain Tumor Segmentation Using 3D-Znet

Multimodal Stereotactic Brain Tumor Segmentation Using 3D-Znet

Stereotactic brain tumor segmentation based on 3D neuroimaging data is a challenging task due to the complexity of the brain architecture, extreme heterogeneity of tumor malformations, and the extreme variability of intensity signal and noise distributions. Early tumor diagnosis can help medical pro...

Full description

Bibliographic Details
Main Authors: Mohammad Ashraf Ottom, Hanif Abdul Rahman, Iyad M. Alazzam, Ivo D. Dinov
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Bioengineering
Subjects:
deep learning
3D tumor segmentation
encoder–decoder
Znet
multimodal neuroimaging data
Online Access:https://www.mdpi.com/2306-5354/10/5/581

Internet

https://www.mdpi.com/2306-5354/10/5/581

Similar Items