文章基本信息

标题：Adaptive Slices in Brain Haemorrhage Segmentation Based on the SLIC Algorithm
本地全文：下载
作者：Ahmad Yahya Dawod ; Aniwat Phaphuangwittayakul ; Fangli Ying 等
期刊名称：Engineering Letters
印刷版ISSN：1816-093X
电子版ISSN：1816-0948
出版年度：2021
卷号：29
期号：2
页码：795-802
语种：English
出版社：Newswood Ltd
摘要：Traffic accidents have a significant impact on dailylife, causing head injuries like skull fractures, brain damage,and so on. Many people fail to follow the safety regulations,such as riding a motorcycle without a helmet. The use ofmachine learning in brain haemorrhage research is extremelychallenging since it involves the collection of patient data fromcomputed tomography (CT) scan images. This study proposesa novel region-based segmentation approach for improving theaccuracy and efficiency of CT automated 3D image processingin the analysis of brain injuries. It is quite challenging to createa highly efficient superpixel method which maintains a strategicdistance from the segmentation and limited clusters of the pixelsin respect to the intensity boundaries. The approach reducescomputational costs, and the model achieves 97.79% accuracy insegmenting brain haemorrhage images. This study also guidesthe direction of future research in this domain.
关键词：SLIC algorithm; hybrid method; thresholding; region merging; segmentation