Automatic brain hemorrhage segmentation and classification algorithm based on weighted grayscale histogram feature in a hierarchical classification structure-Reference-Cited by-同舟云学术

Automatic brain hemorrhage segmentation and classification algorithm based on weighted grayscale histogram feature in a hierarchical classification structure

Published:2016 Issue:1 Volume:36 Page:217-232
ISSN:0208-5216
Container-title:Biocybernetics and Biomedical Engineering
language:en
Short-container-title:Biocybernetics and Biomedical Engineering

Author:

Shahangian Bahareh,Pourghassem Hossein

Publisher

Elsevier BV

Subject

Biomedical Engineering

Reference39 articles.

1. Critical pathways for the management of stroke and intracerebral hemorrhage;Cooper;Crit Pathw Cardiol,2007

2. Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching;Chen;BMC Med Inform Decis Mak,2009

3. Semi-automated method for brain hematoma and edema quantification using computed tomography;Bardera;Comput Med Imaging Graph,2009

4. Segmentation of brain from computed tomography head analysis;Hu,2005

5. Soft segmentation of CT brain data Technical report;Lauric,2007

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