%0 Journal Article %1 V_2015 %A Shingare, Kshitija V. %A Nagare, Shweta S. %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Brain MRI Morphological Operators Segmentation Tumor %N 3 %P 1538--1541 %R 10.17762/ijritcc2321-8169.1503140 %T A Study of Different Segmentation Techniques to Detect Tumor from Brain MR Images %U http://dx.doi.org/10.17762/ijritcc2321-8169.1503140 %V 3 %X The brain is the frontal part of the central nervous system. Brain tumor is an irregular growth caused by cells reproducing themselves in an uncontrolled manner. Brain tumor is may be serious and critical because of space formed inside the skull. So detection of the tumor is very important in earlier stages. Brain tumor detection helps in finding the exact size and location of tumor. This paper is the review of different segmentation techniques used in detection of brain tumor. These segmentation techniques use the MRI Scanned Images to detect the tumor in the brain.

@article{V_2015, abstract = {The brain is the frontal part of the central nervous system. Brain tumor is an irregular growth caused by cells reproducing themselves in an uncontrolled manner. Brain tumor is may be serious and critical because of space formed inside the skull. So detection of the tumor is very important in earlier stages. Brain tumor detection helps in finding the exact size and location of tumor. This paper is the review of different segmentation techniques used in detection of brain tumor. These segmentation techniques use the MRI Scanned Images to detect the tumor in the brain.}, added-at = {2015-08-13T07:26:13.000+0200}, author = {Shingare, Kshitija V. and Nagare, Shweta S.}, biburl = {https://www.bibsonomy.org/bibtex/2dbfbad497320784b463e773f89f7db5a/ijritcc}, doi = {10.17762/ijritcc2321-8169.1503140}, interhash = {ade4e75c376e573915ea3dabf644b6df}, intrahash = {dbfbad497320784b463e773f89f7db5a}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Brain MRI Morphological Operators Segmentation Tumor}, month = {march}, number = 3, pages = {1538--1541}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-13T07:26:13.000+0200}, title = {A Study of Different Segmentation Techniques to Detect Tumor from Brain {MR} Images}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1503140}, volume = 3, year = 2015 }