Lung cancer detection with computer-aided diagnosis (CAD) for various methods, segmentation, classification and analysis: A review

Detection of lung cancer has great clinical importance and increases the chance for patient survival. One of the most effective technologies to automatically detecting lung cancer with an accuracy of diagnosis, robustness, and detection speed is the computer-aided diagnosis (CAD). For this cause, lu...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdullah, Batool A., Mohammed, Saleem Lateef, AL-Naji, Ali, Mahmood, Mustafa F.
Format: Conference Proceeding
Language:English
Subjects:
Diagnosis
Robustness
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Detection of lung cancer has great clinical importance and increases the chance for patient survival. One of the most effective technologies to automatically detecting lung cancer with an accuracy of diagnosis, robustness, and detection speed is the computer-aided diagnosis (CAD). For this cause, lung cancer detection based on CAD techniques has been suggested and investigated in many research studies. The aim of this paper is to provide an overview of the relevant literature on lung cancer detection based on CAD techniques and a number of associated challenges. Authors believe that automatic CAD techniques will be the promising value to help doctors and radiologists to detect and diagnose lung cancer with high accuracy, robustness, efficiency and speed.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0154239