Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding

Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding

Neuroblastoma is the most common extracranial solid malignancy in early childhood. Optimal management of neuroblastoma depends on many factors, including histopathological classification. Although histopathology study is considered the gold standard for classification of neuroblastoma histological i...

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Bibliographic Details
Main Authors: Soheila Gheisari, Daniel R. Catchpoole, Amanda Charlton, Zsombor Melegh, Elise Gradhand, Paul J. Kennedy
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Diagnostics
Subjects:
neuroblastoma
histological images
Scale Invariant Feature Transform (SIFT)
feature encoding
Online Access:http://www.mdpi.com/2075-4418/8/3/56

Internet

http://www.mdpi.com/2075-4418/8/3/56

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