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Convolutional Neural Networks for Medical Image Analysis: Full Training
  or Fine Tuning?

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

2 June 2017
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
ArXivPDFHTML

Papers citing "Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?"

23 / 373 papers shown
Title
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer
  Classification
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification
Manu Goyal
N. Reeves
A. K. Davison
S. Rajbhandari
Jennifer Spragg
Moi Hoon Yap
19
188
0
28 Nov 2017
Exploiting the potential of unlabeled endoscopic video data with
  self-supervised learning
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
T. Ross
David Zimmerer
A. Vemuri
Fabian Isensee
Manuel Wiesenfarth
...
H. Kenngott
Stefanie Speidel
Annette Kopp-Schneider
Klaus Maier-Hein
Lena Maier-Hein
MedIm
SSL
28
130
0
27 Nov 2017
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via
  Adversarial Training
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
Faisal Mahmood
Richard J. Chen
Nicholas J. Durr
OOD
MedIm
21
228
0
17 Nov 2017
Deep Learning and Conditional Random Fields-based Depth Estimation and
  Topographical Reconstruction from Conventional Endoscopy
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy
Faisal Mahmood
Nicholas J. Durr
MedIm
35
142
0
30 Oct 2017
Interactive Medical Image Segmentation using Deep Learning with
  Image-specific Fine-tuning
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang
Wenqi Li
Maria A. Zuluaga
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
41
686
0
11 Oct 2017
Convolutional Neural Networks for Histopathology Image Classification:
  Training vs. Using Pre-Trained Networks
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks
Brady Kieffer
Morteza Babaie
Shivam Kalra
H. R. Tizhoosh
6
124
0
11 Oct 2017
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor
  Segmentation from CT Volumes
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Xiaomeng Li
Hao Chen
Xiaojuan Qi
Qi Dou
Chi-Wing Fu
Pheng Ann Heng
36
101
0
21 Sep 2017
Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and
  Unsupervised Semantic Localization for Intraoperative CLE Images
Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization for Intraoperative CLE Images
Mohammadhassan Izadyyazdanabadi
E. Belykh
M. Mooney
N. Martirosyan
J. Eschbacher
P. Nakaji
M. Preul
Yezhou Yang
13
31
0
10 Sep 2017
Medical Image Analysis using Convolutional Neural Networks: A Review
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar
Muhammad Majid
A. Qayyum
Muhammad Awais
M. Alnowami
Muhammad Khurram Khan
MedIm
8
1,036
0
04 Sep 2017
Recent Advances in the Applications of Convolutional Neural Networks to
  Medical Image Contour Detection
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Zizhao Zhang
Fuyong Xing
H. Su
Xiaoshuang Shi
L. Yang
AAML
38
13
0
24 Aug 2017
Modality-bridge Transfer Learning for Medical Image Classification
Modality-bridge Transfer Learning for Medical Image Classification
Hak Gu Kim
Yeoreum Choi
Yong Man Ro
MedIm
11
31
0
10 Aug 2017
Learning-based Image Enhancement for Visual Odometry in Challenging HDR
  Environments
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments
Ruben Gomez-Ojeda
Zichao Zhang
Javier González Jiménez
Davide Scaramuzza
19
51
0
05 Jul 2017
Error Corrective Boosting for Learning Fully Convolutional Networks with
  Limited Data
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
Abhijit Guha Roy
Sailesh Conjeti
Debdoot Sheet
A. Katouzian
Nassir Navab
Christian Wachinger
19
97
0
02 May 2017
Understanding the Mechanisms of Deep Transfer Learning for Medical
  Images
Understanding the Mechanisms of Deep Transfer Learning for Medical Images
Hariharan Ravishankar
Prasad Sudhakar
Rahul Venkataramani
S. Thiruvenkadam
Pavan Annangi
N.Hari Babu
V. Vaidya
MedIm
19
181
0
20 Apr 2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain
  Lesion Segmentation
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Mohsen Ghafoorian
Alireza Mehrtash
Tina Kapur
N. Karssemeijer
E. Marchiori
...
Bram van Ginneken
Andrey Fedorov
Purang Abolmaesumi
B. Platel
W. Wells
MedIm
OOD
16
328
0
25 Feb 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
334
10,621
0
19 Feb 2017
Comparison of machine learning methods for classifying mediastinal lymph
  node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
Hongkai Wang
Zongwei Zhou
Yingci Li
Zhonghua Chen
Peiou Lu
Wenzhi Wang
Wanyu Liu
Lijuan Yu
8
197
0
07 Feb 2017
Development of JavaScript-based deep learning platform and application
  to distributed training
Development of JavaScript-based deep learning platform and application to distributed training
Masatoshi Hidaka
K. Miura
Tatsuya Harada
6
3
0
07 Feb 2017
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks
  for Automated Pancreas Localization and Segmentation
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation
H. Roth
Le Lu
Nathan S. Lay
Adam P. Harrison
A. Farag
Andrew Sohn
Ronald M. Summers
31
285
0
31 Jan 2017
Multi-source Transfer Learning with Convolutional Neural Networks for
  Lung Pattern Analysis
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis
Stergios Christodoulidis
M. Anthimopoulos
L. Ebner
Andreas Christe
S. Mougiakakou
8
133
0
08 Dec 2016
Towards Automated Melanoma Screening: Exploring Transfer Learning
  Schemes
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Afonso Menegola
Michel Fornaciali
Ramon Pires
Sandra Avila
Eduardo Valle
MedIm
196
43
0
05 Sep 2016
Deep learning trends for focal brain pathology segmentation in MRI
Deep learning trends for focal brain pathology segmentation in MRI
Mohammad Havaei
N. Guizard
Hugo Larochelle
Pierre-Marc Jodoin
OOD
19
83
0
18 Jul 2016
Iterative Multi-domain Regularized Deep Learning for Anatomical
  Structure Detection and Segmentation from Ultrasound Images
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images
Hao Chen
Yefeng Zheng
Jin-Hyeong Park
Pheng-Ann Heng
S. Kevin Zhou
19
104
0
07 Jul 2016
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