4.6 Article

A feature extraction method for lung nodules based on a multichannel principal component analysis network (PCANet)

Related references

Note: Only part of the references are listed.
Review Computer Science, Artificial Intelligence

Pulmonary nodule diagnosis using dual-modal supervised autoencoder based on extreme learning machine

Yan Qiang et al.

EXPERT SYSTEMS (2017)

Article Computer Science, Hardware & Architecture

Medical Sign Recognition of Lung Nodules Based on Image Retrieval with Semantic Features and Supervised Hashing

Juan-Juan Zhao et al.

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY (2017)

Review Medicine, Research & Experimental

PPAR Agonists for the Prevention and Treatment of Lung Cancer

Sowmya P. Lakshmi et al.

PPAR RESEARCH (2017)

Article Engineering, Electrical & Electronic

The Promise of Hybrid PET/MRI Technical advances and clinical applications

Habib Zaidi et al.

IEEE SIGNAL PROCESSING MAGAZINE (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Ashis Kumar Dhara et al.

JOURNAL OF DIGITAL IMAGING (2016)

Article Biochemical Research Methods

Meta-markers for the differential diagnosis of lung cancer and lung disease

Yong-In Kim et al.

JOURNAL OF PROTEOMICS (2016)

Article Computer Science, Artificial Intelligence

PCANet: A Simple Deep Learning Baseline for Image Classification?

Tsung-Han Chan et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Computer Science, Information Systems

Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme

Hao Han et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules

Fangfang Han et al.

JOURNAL OF DIGITAL IMAGING (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis

Menglin Jiang et al.

MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, PT III (2015)

Article Computer Science, Artificial Intelligence

Low-Rank Bilinear Classification: Efficient Convex Optimization and Extensions

Takumi Kobayashi

INTERNATIONAL JOURNAL OF COMPUTER VISION (2014)

Article Computer Science, Artificial Intelligence

Multiple rank multi-linear SVM for matrix data classification

Chenping Hou et al.

PATTERN RECOGNITION (2014)

Review Computer Science, Artificial Intelligence

Representation Learning: A Review and New Perspectives

Yoshua Bengio et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)

Article Computer Science, Artificial Intelligence

Pattern representation in feature extraction and classifier design: Matrix versus vector

Zhe Wang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2008)

Article Engineering, Biomedical

Autonomous detection of pulmonary nodules on CT images with a neural network-based fuzzy system

DT Lin et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2005)

Article Radiology, Nuclear Medicine & Medical Imaging

Chest CT: Automated nodule detection and assessment of change over time - Preliminary experience

JP Ko et al.

RADIOLOGY (2001)