An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images

This research proposes an intelligent decision support system for acute lymphoblastic leukaemia diagnosis from microscopic blood images. A novel clustering algorithm with stimulating discriminant measures (SDM) of both within- and between-cluster scatter variances is proposed to produce robust segme...

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Detalles Bibliográficos
Autores principales: Chin Neoh, Siew, Srisukkham, Worawut, Zhang, Li, Todryk, Stephen, Greystoke, Brigit, Peng Lim, Chee, Alamgir Hossain, Mohammed, Aslam, Nauman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598743/
https://www.ncbi.nlm.nih.gov/pubmed/26450665
http://dx.doi.org/10.1038/srep14938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598743/
https://www.ncbi.nlm.nih.gov/pubmed/26450665
http://dx.doi.org/10.1038/srep14938

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