A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture

A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture

Abstract Glioma is the most aggressive and dangerous primary brain tumor with a survival time of less than 14 months. Segmentation of tumors is a necessary task in the image processing of the gliomas and is important for its timely diagnosis and starting a treatment. Using 3D U-net architecture to p...

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Bibliographic Details
Main Authors: Zeeshan Shaukat, Qurat ul Ain Farooq, Shanshan Tu, Chuangbai Xiao, Saqib Ali
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Bioinformatics
Subjects:
Semantic segmentation
Deep learning
Cloud computing
Brain tumor
3D U-Net
Online Access:https://doi.org/10.1186/s12859-022-04794-9

Internet

https://doi.org/10.1186/s12859-022-04794-9

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