A Review on Image Segmentation for Brain Tumor Detection

S. M. Kulkarni, Dr. G. Sundari
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引用次数: 4

Abstract

A brain tumor is the gathering, or mass, of unusual cells in the cerebrum. The skull, which encases the mind, is extremely unbending. Any advancement inside such a confined space can cause issues. Experts refers a tumor based on where the tumor cells started, and whether they are dangerous (malignant) or not (benign). Main aim of the image segmentation is to find the location and size of the tumor present in the brain. In this paper various types of segmentation algorithms are reviewed.
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图像分割在脑肿瘤检测中的研究进展
脑肿瘤是大脑中不寻常细胞的聚集或肿块。包裹着思想的头骨是极其坚硬的。在这样一个密闭的空间里,任何进步都可能引起问题。专家们根据肿瘤细胞的起源地、危险程度(恶性)和无害程度(良性)来区分肿瘤。图像分割的主要目的是找到存在于大脑中的肿瘤的位置和大小。本文综述了各种类型的分割算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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