Lung cancer is one of the most common diseases among humans and one of the major
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …

Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

Due to the high availability of large-scale annotated image datasets, paramount progress
has been made in deep convolutional neural networks (CNNs) for image classification tasks …

CT screening has been proven to be effective for diagnosing lung cancer at its early
manifestation in the form of pulmonary nodules, thus decreasing the mortality. However, the …

Purpose Lung cancer is the most frequent cancer worldwide and is the leading cause of
cancer-related deaths. Its early detection and treatment at the stage of a lung nodule …

The automatic lung nodule detection system can facilitate the early screening of lung cancer
and timely medical interventions. However, there still exist multiple nodule candidates …

Visual or manual characterization and classification of atherosclerotic plaque lesions are
tedious, error-prone, and time-consuming. The purpose of this study is to develop and …

Abstract Non-Small Cell Lung Cancer (NSCLC) is a major lung cancer type. Proper
diagnosis depends mainly on tumor staging and grading. Pathological prognosis often faces …

The classification process of lung nodule detection in a traditional computer‐aided detection
(CAD) system is complex, and the classification result is heavily dependent on the …

Early pulmonary nodule detection is very important in lung cancer diagnosis and screening.
Most state-of-the-art lung nodule detection models are based on Faster Region-based …