Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features

Lung cancer is the second foremost cause of cancer due to which millions of deaths occur worldwide. Developing automated tools is still a challenging task to improve the prediction. This study is specifically conducted for detailed posterior probabilities analysis to unfold the network associations...

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Detalles Bibliográficos
Autores principales: Yang, Jing, Yee, Por Lip, Khan, Abdullah Ayub, Karamti, Hanen, Eldin, Elsayed Tag, Aldweesh, Amjad, Jery, Atef El, Hussain, Lal, Omar, Abdulfattah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226179/
https://www.ncbi.nlm.nih.gov/pubmed/37256015
http://dx.doi.org/10.1177/20552076231172632

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226179/
https://www.ncbi.nlm.nih.gov/pubmed/37256015
http://dx.doi.org/10.1177/20552076231172632

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