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

• Κύριος συγγραφέας: Αδάλογλου, Νικόλαος
• Άλλοι συγγραφείς: Δερματάς, Ευάγγελος
• Μορφή: Thesis
• Γλώσσα: English
• Έκδοση: 2019
• Θέματα: Deep learning; Magnetic resonance imaging (MRI); Neural networks; Brain medical imaging; Βαθιά μάθηση; Μαγνητική τομογραφία; Νευρωνικά δίκτυα; 621.361 7

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...