Klasifikasi Sel Darah Putih Menggunakan Metode Support Vector Machine (SVM) Berbasis Pengolahan Citra Digital

Klasifikasi Sel Darah Putih Menggunakan Metode Support Vector Machine (SVM) Berbasis Pengolahan Citra Digital

White blood cells are classified into five types (basophils, eosinophils, neutrophils, lymphocytes and monocytes) with additional classes lymphoblast cells from microscope images are processed. By applying image processing, image its white blood cells extracted using the Histogram Oriented Gradient....

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Bibliographic Details
Main Authors: Bhima Caraka, Bakhtiar Alldino Ardi Sumbodo, Ika Candradewi
Format: Article
Language:Indonesian
Published: Universitas Gadjah Mada 2017-04-01
Series:IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
Subjects:
White blood cells, Feature extraction, Histogram oriented gradient, Classification, Support vector machine, Linear, Radial basis function
Online Access:https://jurnal.ugm.ac.id/ijeis/article/view/15420

Internet

https://jurnal.ugm.ac.id/ijeis/article/view/15420

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