PROJECT TITLE :
Brain MRI Tumor Segmentation with 3D Intracranial Structure Deformation Features
ABSTRACT:
Extraction of relevant options is of significant importance for brain tumor segmentation systems. To improve brain tumor segmentation accuracy, the authors gift an improved feature extraction part that takes advantage of the correlation between intracranial structure deformation and also the compression resulting from brain tumor growth. Using 3D nonrigid registration and deformation modeling techniques, the element measures lateral ventricular (LaV) deformation in volumetric magnetic resonance images. By verifying the situation of the extracted LaV deformation feature data and applying the features on brain tumor segmentation with widely used classification algorithms, the authors evaluate the proposed component qualitatively and quantitatively with promising results on eleven datasets comprising real and simulated patient pictures.
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