Clinical decision support system

Principal Investigator

Name
Çağlar Kılıkçıer

Degrees
MS

Institution
Uludag University

Position Title
Research Assistant, Phd student

Email
caglark@uludag.edu.tr

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-121

Initial CDAS Request Approval
Feb 13, 2015

Title
Clinical decision support system

Summary
Our goal is to design a clinical decision support system (CDS) for lung cancer diagnosis, which is based on machine learning algorithms. We extract features from the medical images data set by using computer vision algorithms and use these features for developing the CDS system.

Aims

Designing a decision support system that can be used in clinical practice for lung cancer diagnosis.

Collaborators

Assistant Prof. Dr. Ersen Yılmaz

Related Publications

• A Method based on Super Pixel and Artificial Neural Network for Lung Detection from CT images
  KILIKÇIER, Ç , YILMAZ, E .
  erzifbed. 2018 May 16; Volume 11 (Issue 2): Pages 223-230