Automated glioma detection and segmentation using graphical models

Glioma detection and segmentation is a challenging task for radiologists and clinicians. The research reported in this paper seeks to develop a better clinical decision support algorithm for clinicians diagnosis. This paper presents a probabilistic method for detection and segmentation between abnor...

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Detalles Bibliográficos
Autores principales: Zhao, Zhe, Yang, Guan, Lin, Yusong, Pang, Haibo, Wang, Meiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6103499/
https://www.ncbi.nlm.nih.gov/pubmed/30130371
http://dx.doi.org/10.1371/journal.pone.0200745

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6103499/
https://www.ncbi.nlm.nih.gov/pubmed/30130371
http://dx.doi.org/10.1371/journal.pone.0200745

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