TY  - JOUR
T1  - Tumor Detection and Extraction in the Human Brain
AU - Q. Al-khalidi, Farah AU - Bayati, Maha A. AU - H. Alkinany, Shaimaa 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 7
SP  - 2333
EP  - 2339
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.2333.2339
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.2333.2339
KW  - Brain tumor
KW  -morphological operations
KW  -MRI segmentation
KW  -algorithms
KW  -accurate classification
KW  -diagnoses
AB  - Images are useful means to convey different kinds of information, making different problems easy
to understand. Amongst these are medical images where image-processing techniques are extensively used to
identify defected areas in a human body. One such defect is brain tumor a benign or malignant growth of
tissues in the brain that disrupt its proper function. Regardless of its type, a brain tumor may produce a
symptom that varies according to where in the brain the tumor is detected. Different image processing
techniques were developed, most of which use Magnetic Resonance Imaging (MRI) to assist automatic
detection of brain tumor by computers. This research presents an approach to detect brain tumor based on
image processing algorithms including image preprocessing, enhancement, segmentation, feature extraction
and detection of the brain tumor. Further research is in progress to enhance these techniques, hence, to provide
for accurate classification yet diagnoses of a brain tumor.
ER  -