Brain MRI Tumor Segmentation with 3D Intracranial Structure Deformation Features


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.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Cell Membrane Tracking in Living Brain Tissue Using Differential Interference Contrast Microscopy - 2018ABSTRACT:Differential interference distinction (DIC) microscopy is widely used for observing unstained biological
PROJECT TITLE :Brain Tumor Detection And Segmentation Using Conditional Random Field - 2017ABSTRACT:Medical image processing could be a highly difficult field. Medical image techniques are used to mage the inner portions of the
PROJECT TITLE : Automatic brain tumor tissue detection based on hierarchical centroid shape descriptor in t1-weighted MRI images. - 2016 ABSTRACT: The brain tumor tissue detection permits to localize a mass of abnormal cells
PROJECT TITLE : Extracting Salient Brain Patterns For Imaging Based Classification Of Neurodegenerative Diseases - 2014 ABSTRACT: Neurodegenerative diseases comprise a wide range of mental symptoms whose evolution is not directly
PROJECT TITLE : Sparse Representation For Brain Signal Processing A Tutorial On Methods And Applications - 2014 ABSTRACT: In many cases, observed brain signals will be assumed because the linear mixtures of unknown brain sources/elements.

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry