Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma
Abstract Background and Objective The O 6-methylguanine-DNA-methyltransferase (MGMT)
promoter methylation has been shown to be associated with improved outcomes in patients …
promoter methylation has been shown to be associated with improved outcomes in patients …
Survival analysis of patients with high-grade gliomas based on data mining of imaging variables
EI Zacharaki, N Morita, P Bhatt… - American Journal …, 2012 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The prediction of prognosis in HGGs is poor in the majority
of patients. Our aim was to test whether multivariate prediction models constructed by …
of patients. Our aim was to test whether multivariate prediction models constructed by …
Investigating machine learning techniques for MRI-based classification of brain neoplasms
Purpose Diagnosis and characterization of brain neoplasms appears of utmost importance
for therapeutic management. The emerging of imaging techniques, such as Magnetic …
for therapeutic management. The emerging of imaging techniques, such as Magnetic …
[PDF][PDF] Automated image annotation for semantic indexing and retrieval of medical images
AN Krishna, BG Prasad - International Journal of Computer …, 2012 - researchgate.net
Medical image retrieval to search for clinically relevant and visually similar images depicting
suspecious lesions have been attracting research interest. Content-based image retrieval …
suspecious lesions have been attracting research interest. Content-based image retrieval …
Application of data mining for customs risk channel assignment: the case of Ethiopian revenue and customs authority
E Bezabeh - 2019 - repository.smuc.edu.et
Limiting intrusive customs examinations is recommended under the revised Kyoto
Convention. It is also a proposal discussed in the context of World Trade Organization …
Convention. It is also a proposal discussed in the context of World Trade Organization …
Performance evaluation for different intrusion detection system algorithms using machine learning
MN Zarir - 2018 - eprints.uthm.edu.my
Intrusion is a set of operations that decide to compromise the integrity, confidentiality, and
convenience of pc resources. This definition ignores the success or failure of those …
convenience of pc resources. This definition ignores the success or failure of those …
Brain signal and image analysis using machine learning methods
V Kanas - 2017 - didaktorika.gr
The work presented in this Ph. D manuscript focuses on implementing and designing
machine learning for brain signal analysis. In the first part of the manuscript, dedicated to …
machine learning for brain signal analysis. In the first part of the manuscript, dedicated to …
Dynamic Feature Extraction and User Classification using TouchAnalytics™
C McLeod - 2014 - egrove.olemiss.edu
Security systems for modern computing devices suffer from a multitude of weaknesses that
can render users helpless against an attack on their system. Various attempts at …
can render users helpless against an attack on their system. Various attempts at …
[引用][C] DETEKSI ANOMALI TRAFIK JARINGAN DENGAN MENGGUNAKAN METODE DECISION TREE
E Setya Wijaya - 2012 - Universitas Dian Nuswantoro