Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images

Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images

Cancer is a major public health problem across the globe due to which millions of deaths occur every year. In the United States, prostate cancer is the second leading cause of cancer- related deaths in men. The major causes of prostate cancer include increasing age, family history, diet, sexual beha...

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Bibliographic Details
Main Authors: Lal Hussain, Amjad Ali, Saima Rathore, Sharjil Saeed, Adnan Idris, Muhammad Usama Usman, Muhammad Aksam Iftikhar, Doug Young Suh
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bayesian network analysis
coherence
prostate cancer
morphological features
Pearson’s correlation
mutual information
Online Access:https://ieeexplore.ieee.org/document/8579592/

Internet

https://ieeexplore.ieee.org/document/8579592/

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