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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Prince of Songkla University
2019-10-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | https://rdo.psu.ac.th/sjstweb/journal/41-5/8.pdf |