Detection and Classification of Overlapping Cell Nuclei in Cytology Effusion Images Using a Double-Strategy Random Forest

Detection and Classification of Overlapping Cell Nuclei in Cytology Effusion Images Using a Double-Strategy Random Forest

Due to the close resemblance between overlapping and cancerous nuclei, the misinterpretation of overlapping nuclei can affect the final decision of cancer cell detection. Thus, it is essential to detect overlapping nuclei and distinguish them from single ones for subsequent quantitative analyses. Th...

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Bibliographic Details
Main Authors: Khin Yadanar Win, Somsak Choomchuay, Kazuhiko Hamamoto, Manasanan Raveesunthornkiat
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Applied Sciences
Subjects:
pleural effusion
automatic cell analysis
overlapping nuclei
maximum entropy thresholding
geometric features
textural features
random forest
Online Access:http://www.mdpi.com/2076-3417/8/9/1608

Internet

http://www.mdpi.com/2076-3417/8/9/1608

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