feature selection in lung cancer CT image
Principal Investigator
Name
Noura ABOUDI
Degrees
Ph.D. Student
Institution
National School of Carthage Engineers
Position Title
Ph.D. student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-404
Initial CDAS Request Approval
Apr 30, 2018
Title
feature selection in lung cancer CT image
Summary
Feature selection has become one of the most active research areas in the field of data mining The task of feature selection is to select a subset of the original features according to certain predefined criterion with the goal to remove irrelevant and redundant features, improve
the prediction performance and reduce the computational
costs of data mining algorithms
the prediction performance and reduce the computational
costs of data mining algorithms
Aims
lung cancer, feature selection
Collaborators
Noura ABOUDI Eni-CArthage