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DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule
  Detection and Classification

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification

16 September 2017
Wentao Zhu
Chaochun Liu
Wei Fan
Xiaohui Xie
    MedIm
ArXiv (abs)PDFHTML

Papers citing "DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification"

14 / 14 papers shown
Title
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample
  Filtering and Hybrid-Loss Residual Learning
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning
Qi Dou
Hao Chen
Yueming Jin
Huangjing Lin
J. Qin
Pheng-Ann Heng
56
160
0
13 Aug 2017
Dual Path Networks
Dual Path Networks
Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
93
830
0
06 Jul 2017
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
68
345
0
14 Jun 2017
Deep Multi-instance Networks with Sparse Label Assignment for Whole
  Mammogram Classification
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Wentao Zhu
Qi Lou
Y. S. Vang
Xiaohui Xie
72
275
0
23 May 2017
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task
  Learning
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning
Sarfaraz Hussein
K. Cao
Qi Song
Ulas Bagci
60
158
0
28 Apr 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
116
1,081
0
23 Dec 2016
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Wentao Zhu
Xiang Xiang
Trac D. Tran
Xiaohui Xie
MedIm
67
67
0
18 Dec 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH3DV
108
2,573
0
30 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
868
36,910
0
25 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
760
37,927
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
540
62,477
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,520
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
315
25,087
0
30 Apr 2015
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