A Systematic Analysis for State-of-the-Art 3D Lung Nodule Proposals Generation (2018-01-09T00:00:00.000000Z)

TL;DR

This paper first constructs a model of 3-dimension Convolutional Neural Network (3D CNN) to generate lung nodule proposals, which can achieve the state-of-the-art performance, and implements the model on CPU platform and proposes an Intel Extended-Caffe framework which supports many highly-efficient 3D computations.

Authors

Hui Wu

3 papers

Jian Tang

8 papers

Matrix Yao

1 papers

A. Hu

1 papers

Gaofeng Sun

1 papers

Xiaokun Yu

1 papers

A Systematic Analysis for State-of-the-Art 3D Lung Nodule Proposals Generation

TL;DR

Authors

References14 items

Lung nodule detection in CT using 3D convolutional neural networks

Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs

An Automatic Computerized Model for Cancerous Lung Nodule Detection from Computed Tomography Images with Reduced False Positives

Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging

Lung nodule detection in CT images using deep convolutional neural networks

Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique.

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

U-Net: Convolutional Networks for Biomedical Image Segmentation

Fast R-CNN

Lung nodule detection in CT images using neuro fuzzy classifier

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

Computer-aided diagnosis: a neural-network-based approach to lung nodule detection

Lung Nodule Detection and Classification

Lung Nodule Detection

Field of Study

Journal Information

Name

Volume

Venue Information

Name

Type

URL

Alternate Names