Automatic Gleason Grading of Prostate Cancer Using Shearlet Transform and Multiple Kernel Learning
نویسندگان
چکیده
منابع مشابه
Automatic Gleason Grading of Prostate Cancer Using Shearlet Transform and Multiple Kernel Learning
Description: The process is a method of classifying prostate tumors as cancerous or benign. It classifies the tumors according to the Gleason grading scale to determine the cancerous nature of the tumor. The process utilizes a shearlet transform, as well as three other features, and combines them via multiple kernel learning. The shearlet transform is used to represent the local structure of im...
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ژورنال
عنوان ژورنال: Journal of Imaging
سال: 2016
ISSN: 2313-433X
DOI: 10.3390/jimaging2030025