3D MRI Brain Tumor Segmentation Using Autoencoder Regularization
Automated segmentation of brain tumors from 3D magnetic resonance images (MRIs) is necessary for the diagnosis, monitoring, and treatment planning of the disease. Manual delineation practices require anatomical knowledge, are expensive, time consuming and can be inaccurate due to human error. Here,...
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| Published in | Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries pp. 311 - 320 |
|---|---|
| Main Author | |
| Format | Book Chapter |
| Language | English |
| Published |
Cham
Springer International Publishing
2019
|
| Series | Lecture Notes in Computer Science |
| Online Access | Get full text |
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