• Mrs C.Aruna

Brain tumor segmentation in magnetic resonance imaging (MRI) is considered a complex procedure due to the variability of tumor shape and the complexity of localization, tumor size and texture. Manual tumor segmentation is a tedious task, prone to human error. Therefore, this study proposes an automated method that can identify tumor slices and tumor segments across all image slices in volumetric MRI brain scans. First, a set of algorithms in the preprocessing stage are used to clean and normalize the data collected for brain tumor segmentation MRI.

Brain tumor segmentation in magnetic resonance imaging (MRI) is considered a complex procedure due to the variability of tumor shape and the complexity of localization, tumor size and texture. Manual tumor segmentation is a tedious task, prone to human error. Therefore, this study proposes an automated method that can identify tumor slices and tumor segments across all image slices in volumetric MRI brain scans. First, a set of algorithms in the preprocessing stage are used to clean and normalize the data collected for brain tumor segmentation MRI.

"ENCHANCEMENT OF IMAGE SEGMENTATION METHODOLOGY IN MEDICAL IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.47-49, March-2023, Available :http://www.jetir.org/papers/JETIRFV06010.pdf

"ENCHANCEMENT OF IMAGE SEGMENTATION METHODOLOGY IN MEDICAL IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pp47-49, March-2023, Available at : http://www.jetir.org/papers/JETIRFV06010.pdf