… Aiming to fulfill this goal, in this work, we developed a 3D lung cancer diagnosis system
in CT scan imaging. The proposed system consists of two main parts: the first part is for the …

… An early diagnosis for lung cancer detection is by lung radiology test (… Computer-Aided
Detection (CAD) systems have been utilized to process medical images such as CT scan images …

… medical imaging diagnosis area, because large dataset is not always available for medical
images… algorithms for lung cancer diagnosis with the cases from Lung Image Database …

… , with rapidly emerging applications spanning medical image-… medical imaging tools, clinicians
can detect and classify lung … -based imaging techniques for early lung cancer detection. …

… It also compares recent research performed in medical image analysis of lung cancer
using deep learning algorithms, considering various technical aspects such as efficiency, …

… of photographic images can be applied to medical images through transfer learning (17).
This has been demonstrated in cancer research with regards to tumor detection and staging (18…

… lung cancer nodules from the JSRT dataset. The authors of [34] is the only study surveyed to
do lung cancer detection on histopathology images. … frequent subtypes of lung cancer, and …

… paper, a Computer Aided Diagnosis system is studied for detecting the lung cancer at early
stage. The CAD system makes use of Computer Tomography images. Firstly, the lung region …

… The objective of this paper is to explore an expedient image segmentation algorithm for
medical images to curtail the physicians’ interpretation of computer tomography (CT) scan …

… image-based diagnostic system for early diagnosis of pulmonary nodules that may lead to
lung cancer… the estimated growth rate of the detected lung nodules from Low Dose Computed …