A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules

Lung nodule classification using local kernel regression models with out-of-sample extension

(2018) Guohui Wei et al.   Biomedical Signal Processing and Control

An appraisal of nodules detection techniques for lung cancer in CT images

(2018) Muhammad Zia ur Rehman et al.   Biomedical Signal Processing and Control

Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT

(2018) Yutong Xie et al.   Information Fusion

Multi-view multi-scale CNNs for lung nodule type classification from CT images

(2018) Xinglong Liu et al.   PATTERN RECOGNITION

Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images

(2017) QingZeng Song et al.   Journal of Healthcare Engineering

Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy

(2016) Macedo Firmino et al.   Biomedical Engineering Online

A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images

(2016) Ashis Kumar Dhara et al.   JOURNAL OF DIGITAL IMAGING

Can diffusion-weighted imaging be used as a reliable sequence in the detection of malignant pulmonary nodules and masses?

(2012) Lian-Ming Wu et al.   MAGNETIC RESONANCE IMAGING

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS

Random forest based lung nodule classification aided by clustering

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