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An End-to-end Framework For Integrated Pulmonary Nodule Detection and
  False Positive Reduction

An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction

23 March 2019
Hao Tang
Xingwei Liu
Xiaohui Xie
    MedIm
ArXiv (abs)PDFHTML

Papers citing "An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction"

3 / 3 papers shown
Title
Automated pulmonary nodule detection using 3D deep convolutional neural
  networks
Automated pulmonary nodule detection using 3D deep convolutional neural networks
Hao Tang
Daniel R. Kim
Xiaohui Xie
MedIm
42
78
0
23 Mar 2019
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using
  Deep Convolutional Neural Networks
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks
Jia Ding
Aoxue Li
Zhiqiang Hu
Liwei Wang
MedIm
59
345
0
14 Jun 2017
Validation, comparison, and combination of algorithms for automatic
  detection of pulmonary nodules in computed tomography images: the LUNA16
  challenge
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
A. Setio
A. Traverso
Thomas de Bel
Moira S. N. Berens
C. V. D. Bogaard
...
Jef Vandemeulebroucke
N. Walasek
G. Zuidhof
Bram van Ginneken
Colin Jacobs
104
1,081
0
23 Dec 2016
1