Automated classification of childhood brain tumours based on texture feature

Automated classification of childhood brain tumours based on texture feature

We propose a framework for automated classification between normal and abnormal biopsy samples of childhood brain tumour with emphasis on childhood medulloblastoma, a most common childhood brain tumour, using texture features. Texture is a measure to analyze the variation of intensity of surface o...

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Bibliographic Details
Main Authors: Daisy Das, Lipi B. Mahanta, Shabnam Ahmed, Basanta Kr. Baishya, Inamul Haque
Format: Article
Language:English
Published: Prince of Songkla University 2019-10-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
cns tumours
medulloblastoma
biopsy
classification
texture feature
Online Access:https://rdo.psu.ac.th/sjstweb/journal/41-5/8.pdf

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