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标题：A Hybrid Method for Brain Tumor Detection in Medical Image
本地全文：下载
作者：T. John Sunder Singh ; J.I. Sheeba
期刊名称：Webology
印刷版ISSN：1735-188X
出版年度：2021
卷号：18
期号：Special Issue 01
页码：230-245
DOI：10.14704/WEB/V18SI01/WEB18056
出版社：University of Tehran
摘要：Recognition of Brain Tumor is really a troublesome errand and the right investigation of the Tumor structure is likewise troublesome thus a programmed technique for the location of Tumor is in use these days. Without a doubt, this spares the time just as it gives increasingly exact outcomes as in contrast with manual location. The proposed technique is a hybrid methodology for discovery Tumor alongside the capacity to figure the territory (%age) involved by the Tumor in the general synapses, Right off the bat, Tumor locales from a MR picture are divided utilizing an OSTU Algorithm. Here, in addition KNN& LLOYED are utilized for recognizing, Tumor influenced tissues from the not influenced tissues in this work.
其他摘要：Recognition of Brain Tumor is really a troublesome errand and the right investigation of the Tumor structure is likewise troublesome thus a programmed technique for the location of Tumor is in use these days. Without a doubt, this spares the time just as it gives increasingly exact outcomes as in contrast with manual location. The proposed technique is a hybrid methodology for discovery Tumor alongside the capacity to figure the territory (%age) involved by the Tumor in the general synapses, Right off the bat, Tumor locales from a MR picture are divided utilizing an OSTU Algorithm. Here, in addition KNN& LLOYED are utilized for recognizing, Tumor influenced tissues from the not influenced tissues in this work.