Title :
Automatic brain tumor detection and segmentation in MR images
Author :
Zeljkovic, Vesna ; Druzgalski, C. ; Zhang, Ye ; ZHU, Z. Q. ; Xu, Zongben ; Zhang, Dejing ; Mayorga, P.
Author_Institution :
Dept. of Electr. Eng., New York Inst. of Technol., Nanjing, China
Abstract :
The MRI or CT scan images are primary follow up diagnostic tools when a neurologic exam indicates a possibility of a primary or metastatic brain tumor existence. The tumor tissue mainly appears in brighter colors than the rest of the regions in the brain. Based on this observation, an automated algorithm for brain tumor detection and medical doctors´ assistance in facilitated and accelerated diagnosis procedure has been developed and initially tested on images obtained from the patients with diagnosed tumors and healthy subjects.
Keywords :
biomedical MRI; brain; image recognition; image segmentation; medical image processing; tumours; MR images; automated algorithm; automatic brain tumor detection; automatic brain tumor segmentation; follow up diagnostic tools; metastatic brain tumor; neurologic exam; primary brain tumor; Accuracy; Cancer; Image segmentation; Magnetic resonance imaging; Shape; Tumors; Brain tumor; brain cancer; image processing; segmentation;
Conference_Titel :
Health Care Exchanges (PAHCE), 2014 Pan American
Conference_Location :
Brasilia
Print_ISBN :
978-1-4799-3554-3
DOI :
10.1109/PAHCE.2014.6849645
