Related Experiment Video

Updated: Nov 19, 2025

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.1K

A level set method based on domain transformation and bias correction for MRI brain tumor segmentation

Asieh Khosravanian1, Mohammad Rahmanimanesh1, Parviz Keshavarzi1

  • 1Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.

Journal of Neuroscience Methods
|January 30, 2021
PubMed
Summary

This study introduces a novel region-based level set method for accurate image segmentation, effectively addressing intensity inhomogeneity and bias field correction in brain tumor MRI scans. The new approach outperforms existing methods in accuracy and robustness.

Keywords:
Bias field estimationBias field estimation correctionBrain tumor segmentationLevel set method

More Related Videos

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

48.9K
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.2K

Related Concept Videos