Deep learning in medical image analysis : a comparative analysis of multi-modal brain-MRI segmentation with 3D deep neural networks

Volumetric segmentation in magnetic resonance images is mandatory for the diagnosis, monitoring, and treatment planning. Manual practices require anatomical knowledge, are expensive, time consuming and can be inaccurate due to human factor. Automated segmentation can save physicians time and p...

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Bibliographic Details
Main Author: Αδάλογλου, Νικόλαος
Other Authors: Δερματάς, Ευάγγελος
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10889/12754