Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks

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

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

Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease

(2018) Deepak Gupta et al.   Cognitive Systems Research

Optimal feature-based multi-kernel SVM approach for thyroid disease classification

(2018) K. Shankar et al.   JOURNAL OF SUPERCOMPUTING

Health of Things Algorithms for Malignancy Level Classification of Lung Nodules

(2018) Murillo B. Rodrigues et al.   IEEE Access

Detection of Subtype Blood Cells using Deep Learning

(2018) Prayag Tiwari et al.   Cognitive Systems Research

Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric

(2017) Guohui Wei et al.   JOURNAL OF MEDICAL SYSTEMS

Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images

(2017) Pedro Pedrosa Rebouças Filho et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Deep residual learning for image steganalysis

(2017) Songtao Wu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

(2017) Wei Shen et al.   PATTERN RECOGNITION

3D multi-view convolutional neural networks for lung nodule classification

(2017) Guixia Kang et al.   PLoS One

Brain Computer Interface Systems for Neurorobotics: Methods and Applications

(2017) Victor Hugo C. de Albuquerque et al.   Biomed Research International

Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis

(2017) Stergios Christodoulidis et al.   IEEE Journal of Biomedical and Health Informatics

Did death certificates and a death review process agree on lung cancer cause of death in the National Lung Screening Trial?

(2016) Pamela M Marcus et al.   Clinical Trials

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules

(2014) Fangfang Han et al.   JOURNAL OF DIGITAL IMAGING

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

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

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING