3D shape analysis to reduce false positives for lung nodule detection systems

Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques

(2015) Sheeraz Akram et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Current concepts on the molecular pathology of non-small cell lung carcinoma

(2014) Junya Fujimoto et al.   SEMINARS IN DIAGNOSTIC PATHOLOGY

Lung cancer imaging

(2014) Shekhar S. Patil et al.   SEMINARS IN DIAGNOSTIC PATHOLOGY

Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index

(2013) Antonio Oseas de Carvalho Filho et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Classification of Pulmonary Nodules by Using Hybrid Features

(2013) Ahmet Tartar et al.   Computational and Mathematical Methods in Medicine

Automatic segmentation of lung nodules with growing neural gas and support vector machine

(2012) Stelmo Magalhães Barros Netto et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Estimation of the coefficient of variation for non-normal model using progressive first-failure-censoring data

(2012) Ahmed A. Soliman et al.   JOURNAL OF APPLIED STATISTICS

Random forest based lung nodule classification aided by clustering

(2010) S.L.A. Lee et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

NF-kappaB in lung cancer, a carcinogenesis mediator and a prevention and therapy target

(2010) Wenshu Chen   Frontiers in Bioscience-Landmark

Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images

(2009) Xujiong Ye et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Noncalcified Lung Nodules: Volumetric Assessment with Thoracic CT

(2009) Marios A. Gavrielides et al.   RADIOLOGY

Fleischner Society: Glossary of Terms for Thoracic Imaging

(2008) David M. Hansell et al.   RADIOLOGY