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Highly accurate model for prediction of lung nodule malignancy with CT
  scans

Highly accurate model for prediction of lung nodule malignancy with CT scans

6 February 2018
J. Causey
Junyu Zhang
Shiqian Ma
Bo Jiang
J. Qualls
D. Politte
Fred Prior
Shuzhong Zhang
Xiuzhen Huang
ArXiv (abs)PDFHTML

Papers citing "Highly accurate model for prediction of lung nodule malignancy with CT scans"

3 / 3 papers shown
Title
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
90
1,080
0
23 Dec 2016
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT
  Imaging
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging
P. Ypsilantis
Giovanni Montana
MedIm
37
31
0
28 Sep 2016
Benign-Malignant Lung Nodule Classification with Geometric and
  Appearance Histogram Features
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features
T. Shewaye
Alhayat Ali Mekonnen
63
29
0
26 May 2016
1