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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?"

50 / 373 papers shown
Title
The impact of patient clinical information on automated skin cancer
  detection
The impact of patient clinical information on automated skin cancer detection
André G. C. Pacheco
R. Krohling
11
154
0
16 Sep 2019
Skin cancer detection based on deep learning and entropy to detect
  outlier samples
Skin cancer detection based on deep learning and entropy to detect outlier samples
André G. C. Pacheco
Abder-Rahman Ali
Thomas Trappenberg
31
43
0
10 Sep 2019
Intensity augmentation for domain transfer of whole breast segmentation
  in MRI
Intensity augmentation for domain transfer of whole breast segmentation in MRI
L. Hesse
Grey Kuling
M. Veta
Anne L. Martel
17
5
0
05 Sep 2019
DeepHealth: Review and challenges of artificial intelligence in health
  informatics
DeepHealth: Review and challenges of artificial intelligence in health informatics
Gloria Hyunjung Kwak
Pan Hui
SyDa
27
26
0
01 Sep 2019
DFPENet-geology: A Deep Learning Framework for High Precision
  Recognition and Segmentation of Co-seismic Landslides
DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides
Qingsong Xu
Chaojun Ouyang
Tianhai Jiang
Xuanmei Fan
Duoxiang Cheng
AI4CE
11
13
0
28 Aug 2019
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Chengliang Dai
Yuanhan Mo
Elsa D. Angelini
Yike Guo
Wenjia Bai
MedIm
21
18
0
28 Aug 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
Feature Learning to Automatically Assess Radiographic Knee
  Osteoarthritis Severity
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
Joseph Antony
Kevin McGuinness
Kieran Moran
Noel E. O'Connor
6
7
0
23 Aug 2019
Models Genesis: Generic Autodidactic Models for 3D Medical Image
  Analysis
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Zongwei Zhou
V. Sodha
M. R. Siddiquee
Ruibin Feng
Nima Tajbakhsh
Michael B. Gotway
Jianming Liang
MedIm
9
301
0
19 Aug 2019
Learning Fixed Points in Generative Adversarial Networks: From
  Image-to-Image Translation to Disease Detection and Localization
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
M. R. Siddiquee
Zongwei Zhou
Nima Tajbakhsh
Ruibin Feng
Michael B. Gotway
Yoshua Bengio
Jianming Liang
GAN
MedIm
22
91
0
16 Aug 2019
Knee menisci segmentation and relaxometry of 3D ultrashort echo time
  (UTE) cones MR imaging using attention U-Net with transfer learning
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
Michal Byra
Mei Wu
Xiaodong Zhang
H. Jang
Yajun Ma
Eric Chang
Sameer Shah
Jiang Du
6
0
0
05 Aug 2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
Pengyi Zhang
Yunxin Zhong
Yulin Deng
Xiaoying Tang
Xiaoqiong Li
22
32
0
01 Aug 2019
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion
  Recognition
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition
Juan D. S. Ortega
Mohammed Senoussaoui
Eric Granger
M. Pedersoli
P. Cardinal
Alessandro Lameiras Koerich
6
55
0
06 Jul 2019
Multi-Instance Multi-Scale CNN for Medical Image Classification
Multi-Instance Multi-Scale CNN for Medical Image Classification
Shaohua Li
Yong Liu
Xiuchao Sui
Cheng Chen
Gabriel Tjio
Daniel Ting
Rick Siow Mong Goh
16
49
0
04 Jul 2019
Automatic Colon Polyp Detection using Region based Deep CNN and Post
  Learning Approaches
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches
Younghak Shin
H. Qadir
Lars Aabakken
Jacob Bergsland
I. Balasingham
12
168
0
27 Jun 2019
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical
  Imaging
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging
Yucheng Zhang
Edrise M. Lobo-Mueller
P. Karanicolas
S. Gallinger
M. Haider
Farzad Khalvati
MedIm
16
68
0
25 Jun 2019
A CNN-Based Super-Resolution Technique for Active Fire Detection on
  Sentinel-2 Data
A CNN-Based Super-Resolution Technique for Active Fire Detection on Sentinel-2 Data
M. Gargiulo
Domenico A. G. DellÁglio
A. Iodice
D. Riccio
G. Ruello
14
21
0
25 Jun 2019
An image-driven machine learning approach to kinetic modeling of a
  discontinuous precipitation reaction
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction
E. Kautz
Wufei Ma
S. Jana
A. Devaraj
V. Joshi
B. Yener
D. Lewis
9
21
0
13 Jun 2019
GANPOP: Generative Adversarial Network Prediction of Optical Properties
  from Single Snapshot Wide-field Images
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images
Mason T. Chen
Faisal Mahmood
Jordan A. Sweer
Nicholas J. Durr
26
32
0
12 Jun 2019
AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data
  Collection through a Closed Loop Framework
AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework
Min Chen
Ping Zhou
Di Wu
Long Hu
Mohammad Mehedi Hassan
Atif Alamri
19
67
0
05 Jun 2019
Transfer Learning with intelligent training data selection for
  prediction of Alzheimer's Disease
Transfer Learning with intelligent training data selection for prediction of Alzheimer's Disease
N. Khan
Marcia Hon
Nabila Abraham
14
128
0
04 Jun 2019
Deep Transfer Learning Methods for Colon Cancer Classification in
  Confocal Laser Microscopy Images
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images
N. Gessert
M. Bengs
L. Wittig
D. Drömann
T. Keck
Alexander Schlaefer
D. Ellebrecht
32
31
0
20 May 2019
Skin Lesion Classification Using CNNs with Patch-Based Attention and
  Diagnosis-Guided Loss Weighting
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
N. Gessert
T. Sentker
F. Madesta
Rüdiger Schmitz
H. Kniep
Ivo M. Baltruschat
R. Werner
Alexander Schlaefer
11
118
0
07 May 2019
Informative sample generation using class aware generative adversarial
  networks for classification of chest Xrays
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Behzad Bozorgtabar
Dwarikanath Mahapatra
Hendrik von Teng
Alexander Pollinger
L. Ebner
Jean-Phillipe Thiran
M. Reyes
MedIm
GAN
18
33
0
24 Apr 2019
Computer-aided diagnosis in histopathological images of the endometrium
  using a convolutional neural network and attention mechanisms
Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms
Hao Sun
Xianxu Zeng
Tao Xu
G. Peng
Yutao Ma
37
90
0
24 Apr 2019
Uncovering convolutional neural network decisions for diagnosing
  multiple sclerosis on conventional MRI using layer-wise relevance propagation
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
Fabian Eitel
Emily Soehler
J. Bellmann-Strobl
A. Brandt
K. Ruprecht
...
M. Weygandt
J. Haynes
M. Scheel
Friedemann Paul
K. Ritter
27
131
0
18 Apr 2019
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional
  Neural Networks Based on Maximum Intensity Projection
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
S. Zheng
Jiapan Guo
Xiaonan Cui
Raymond N. J. Veldhuis
M. Oudkerk
P. V. van Ooijen
7
119
0
11 Apr 2019
From Patch to Image Segmentation using Fully Convolutional Networks --
  Application to Retinal Images
From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal Images
Taibou Birgui Sekou
Moncef Hidane
Julien Olivier
H. Cardot
MedIm
6
33
0
08 Apr 2019
Thickened 2D Networks for Efficient 3D Medical Image Segmentation
Thickened 2D Networks for Efficient 3D Medical Image Segmentation
Qihang Yu
Yingda Xia
Lingxi Xie
Elliot K. Fishman
Alan Yuille
3DPC
MedIm
33
29
0
02 Apr 2019
Med3D: Transfer Learning for 3D Medical Image Analysis
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen
Kai Ma
Yefeng Zheng
MedIm
18
449
0
01 Apr 2019
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A
  Cross-dataset Study
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
L. Rundo
Changhee Han
Jin Zhang
Ryuichiro Hataya
Yudai Nagano
...
A. Tangherloni
M. Gilardi
Salvatore Vitabile
Hideki Nakayama
G. Mauri
22
31
0
29 Mar 2019
A Deep Dive into Understanding Tumor Foci Classification using
  Multiparametric MRI Based on Convolutional Neural Network
A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network
Weiwei Zong
Joon-Young Lee
Chang Liu
Eric N Carver
A. Feldman
...
Milan Pantelic
D. Hearshen
I. Chetty
B. Movsas
Ning Wen
26
12
0
29 Mar 2019
On evaluating CNN representations for low resource medical image
  classification
On evaluating CNN representations for low resource medical image classification
Taruna Agrawal
Rahul Gupta
Shrikanth Narayanan
16
20
0
26 Mar 2019
Multiscale CNN based Deep Metric Learning for Bioacoustic
  Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss
Anshul Thakur
Daksh Thapar
Padmanabhan Rajan
A. Nigam
24
36
0
26 Mar 2019
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Tasfia Shermin
S. Teng
Manzur Murshed
Guojun Lu
Ferdous Sohel
Manoranjan Paul
19
1
0
25 Mar 2019
Deep Radiomics for Brain Tumor Detection and Classification from
  Multi-Sequence MRI
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
Subhashis Banerjee
Sushmita Mitra
F. Masulli
S. Rovetta
MedIm
12
41
0
21 Mar 2019
Segmentation of Roots in Soil with U-Net
Segmentation of Roots in Soil with U-Net
Abraham George Smith
Jens Petersen
Raghavendra Selvan
C. Rasmussen
19
122
0
28 Feb 2019
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma
  Multiform Image Classification Based on DCGAN and AlexNet
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet
Meiyu Li
Hailiang Tang
M. Chan
Xiaobo Zhou
Xiaohua Qian
MedIm
AI4CE
28
51
0
16 Feb 2019
Machine Learning on Biomedical Images: Interactive Learning, Transfer
  Learning, Class Imbalance, and Beyond
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond
N. Khan
Nabila Abraham
L. Guan
14
15
0
13 Feb 2019
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using
  Machine Learning and Automatically Inferred Phenotype Profiles
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles
Xingzhi Yue
Neofytos Dimitriou
Ognjen Arandjelovic
6
41
0
10 Feb 2019
Deep Learning for Bridge Load Capacity Estimation in Post-Disaster and
  -Conflict Zones
Deep Learning for Bridge Load Capacity Estimation in Post-Disaster and -Conflict Zones
Arya Pamuncak
Weisi Guo
Ahmed Soliman Khaled
Irwanda Laory
9
11
0
05 Feb 2019
Surrogate Supervision for Medical Image Analysis: Effective Deep
  Learning From Limited Quantities of Labeled Data
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data
Nima Tajbakhsh
Yufei Hu
Junli Cao
Xingjian Yan
Yi Xiao
Yong Lu
Jianming Liang
Demetri Terzopoulos
Xiaowei Ding
25
77
0
25 Jan 2019
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
Bo Liu
Wenhao Chi
Xinran Li
Peng Li
W. Liang
Haiping Liu
Wei Wang
Jianxing He
16
69
0
23 Jan 2019
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for
  Image-to-Image Transformation
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
Kancharagunta Kishan Babu
S. Dubey
GAN
32
56
0
11 Jan 2019
Low Latency Privacy Preserving Inference
Low Latency Privacy Preserving Inference
Alon Brutzkus
Oren Elisha
Ran Gilad-Bachrach
FedML
21
229
0
27 Dec 2018
Fully Automatic Segmentation of Sublingual Veins from Retrained U-Net
  Model for Few Near Infrared Images
Fully Automatic Segmentation of Sublingual Veins from Retrained U-Net Model for Few Near Infrared Images
Tingxiao Yang
Yuichiro Yoshimura
Akira Morita
T. Namiki
T. Nakaguchi
18
4
0
22 Dec 2018
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with
  a Small Training Set
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set
Moran Rubin
Omer Stein
N. Turko
Y. Nygate
Darina Roitshtain
Lidor Karako
I. Barnea
Raja Giryes
N. Shaked
MedIm
GAN
20
3
0
17 Dec 2018
SUSAN: Segment Unannotated image Structure using Adversarial Network
SUSAN: Segment Unannotated image Structure using Adversarial Network
Fang Liu
GAN
MedIm
42
56
0
03 Dec 2018
Elastic Boundary Projection for 3D Medical Image Segmentation
Elastic Boundary Projection for 3D Medical Image Segmentation
Tianwei Ni
Lingxi Xie
Huangjie Zheng
Elliot K. Fishman
Alan Yuille
27
34
0
03 Dec 2018
A multi-task deep learning model for the classification of Age-related
  Macular Degeneration
A multi-task deep learning model for the classification of Age-related Macular Degeneration
Qingyu Chen
Yifan Peng
T. Keenan
S. Dharssi
Elvira Agrón
W. Wong
E. Chew
Zhiyong Lu
BDL
MedIm
29
45
0
02 Dec 2018
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