Lung cancer is pointed as the major cause of death among patients with cancer throughout
the world. This work is intended to develop a methodology for diagnosis of lung nodules …

Lung cancer is the major cause of death among patients with cancer worldwide. This work is
intended to develop a methodology for the diagnosis of lung nodules using images from the …

Lung cancer has been recognized as the primary global cause of death among cancer
patients. This work is intended to develop a methodology for diagnosis of lung nodules …

Lung cancer presents the highest cause of death among patients around the world, in
addition of being one of the smallest survival rates after diagnosis. Therefore, this study …

The present work aims to develop a methodology for classifying lung nodules using the
LIDC-IDRI image database. The proposed methodology is based on image-processing and …

There are lots of work being done to develop computer-assisted diagnosis and detection
(CAD) technologies and systems to improve the diagnostic quality for pulmonary nodules …

Introduction Lung cancer remains the leading cause of cancer mortality worldwide, with one
of the lowest survival rates after diagnosis. Therefore, early detection greatly increases the …

To distinguish malignant pulmonary nodules from benign ones is of much importance in
computer-aided diagnosis of lung diseases. Compared to many previous methods which are …

Lung cancer is one of the most deadly diseases around the world representing about 26% of
all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent …

Classification of malignant and benign pulmonary nodules is important for further treatment
plan. The present work focuses on the classification of benign and malignant pulmonary …