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Evolving the pulmonary nodules diagnosis from classical approaches to
  deep learning aided decision support: three decades development course and
  future prospect

Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect

23 January 2019
Bo Liu
Wenhao Chi
Xinran Li
Peng Li
W. Liang
Haiping Liu
Wei Wang
Jianxing He
ArXivPDFHTML

Papers citing "Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect"

15 / 15 papers shown
Title
Interpreting Deep Learning: The Machine Learning Rorschach Test?
Interpreting Deep Learning: The Machine Learning Rorschach Test?
Adam S. Charles
AAML
HAI
AI4CE
69
9
0
01 Jun 2018
Adversarial Attacks Against Medical Deep Learning Systems
Adversarial Attacks Against Medical Deep Learning Systems
S. G. Finlayson
Hyung Won Chung
I. Kohane
Andrew L. Beam
SILM
AAML
OOD
MedIm
50
231
0
15 Apr 2018
Lung and Pancreatic Tumor Characterization in the Deep Learning Era:
  Novel Supervised and Unsupervised Learning Approaches
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches
Sarfaraz Hussein
Pujan Kandel
C. Bolan
Michael B. Wallace
Ulas Bagci
106
220
0
10 Jan 2018
A Berkeley View of Systems Challenges for AI
A Berkeley View of Systems Challenges for AI
Ion Stoica
D. Song
Raluca A. Popa
D. Patterson
Michael W. Mahoney
...
Joseph E. Gonzalez
Ken Goldberg
A. Ghodsi
David Culler
Pieter Abbeel
57
200
0
15 Dec 2017
Computer-aided diagnosis of lung nodule using gradient tree boosting and
  Bayesian optimization
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
Mizuho Nishio
M. Nishizawa
Osamu Sugiyama
Ryosuke Kojima
M. Yakami
T. Kuroda
K. Togashi
26
108
0
19 Aug 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training
  or Fine Tuning?
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
198
2,526
0
02 Jun 2017
Deep Learning for Medical Image Processing: Overview, Challenges and
  Future
Deep Learning for Medical Image Processing: Overview, Challenges and Future
M. I. Razzak
S. Naz
Ahmad Zaib
54
1,008
0
22 Apr 2017
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic
  Artificial Neural Networks
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Andrea Soltoggio
Kenneth O. Stanley
S. Risi
AI4CE
71
136
0
30 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
614
10,759
0
19 Feb 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
84
1,072
0
23 Dec 2016
Towards automatic pulmonary nodule management in lung cancer screening
  with deep learning
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
F. Ciompi
Kaman Chung
S. Riel
A. Setio
P. K. Gerke
...
M. Wille
A. Marchiano
U. Pastorino
Mathias Prokop
Bram van Ginneken
50
351
0
28 Oct 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.6K
39,472
0
01 Sep 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
232
16,336
0
30 Apr 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
341
25,569
0
09 Jun 2011
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