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A Survey on Deep Learning in Medical Image Analysis

A Survey on Deep Learning in Medical Image Analysis

19 February 2017
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
    OOD
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Papers citing "A Survey on Deep Learning in Medical Image Analysis"

50 / 1,596 papers shown
Title
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without
  Sharing Private Information
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information
Qi Chang
Zhennan Yan
L. Baskaran
Hui Qu
Yikai Zhang
Tong Zhang
Shaoting Zhang
Dimitris N. Metaxas
MedIm
21
12
0
15 Dec 2020
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
33
25
0
15 Dec 2020
Learning Hybrid Representations for Automatic 3D Vessel Centerline
  Extraction
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Jiafa He
Changzai Pan
Can Yang
Ming Zhang
Yang Wang
Xiaowei Zhou
Yizhou Yu
3DPC
28
25
0
14 Dec 2020
Anomaly detection through latent space restoration using
  vector-quantized variational autoencoders
Anomaly detection through latent space restoration using vector-quantized variational autoencoders
Sergio Naval Marimont
G. Tarroni
DRL
128
57
0
12 Dec 2020
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray
  Images
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
D. Gomes
Anwaar-ul Haq
23
11
0
10 Dec 2020
Annotation-efficient deep learning for automatic medical image
  segmentation
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang
Cheng Li
Rongpin Wang
Zaiyi Liu
Meiyun Wang
...
Xin Liu
Jie Chen
Hui-Chong Zhou
Ismail Ben Ayed
Hairong Zheng
VLM
MedIm
39
177
0
09 Dec 2020
Machine Learning for Cataract Classification and Grading on Ophthalmic
  Imaging Modalities: A Survey
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Xiaoqin Zhang
Yan Hu
Zunjie Xiao
Jiansheng Fang
Risa Higashita
Jiang-Dong Liu
56
41
0
09 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
  Framework
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Runbin Shi
Hayden Kwok-Hay So
Xuehai Qian
Yanzhi Wang
Xue Lin
MQ
26
83
0
08 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
Alexander I. Cowen-Rivers
Wenlong Lyu
Rasul Tutunov
Zhi Wang
Antoine Grosnit
...
A. Maraval
Hao Jianye
Jun Wang
Jan Peters
H. Ammar
27
74
0
07 Dec 2020
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in
  Radiological Images
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
K. Yan
Jinzheng Cai
D. Jin
S. Miao
Dazhou Guo
Adam P. Harrison
Youbao Tang
Jing Xiao
Jingjing Lu
Le Lu
MedIm
27
82
0
04 Dec 2020
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy
  Cluster Richness Estimate
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
G. Liang
Yuanyuan Su
Sheng-Chieh Lin
Yu Zhang
Yuanyuan Zhang
Nathan Jacobs
12
2
0
04 Dec 2020
Long-range medical image registration through generalized mutual
  information (GMI): toward a fully automatic volumetric alignment
Long-range medical image registration through generalized mutual information (GMI): toward a fully automatic volumetric alignment
Vinicius Pavanelli Vianna
L. Murta
12
1
0
30 Nov 2020
Deep learning approach to left ventricular non-compaction measurement
Deep learning approach to left ventricular non-compaction measurement
Jesús M. Rodríguez-de-Vera
J. González-Carrillo
J. M. García
Gregorio Bernabé
21
0
0
30 Nov 2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Jianpeng Zhang
Yutong Xie
Yan Wang
Yong-quan Xia
SSeg
MedIm
24
88
0
28 Nov 2020
Trends in deep learning for medical hyperspectral image analysis
Trends in deep learning for medical hyperspectral image analysis
Uzair Khan
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
OOD
27
58
0
27 Nov 2020
Progressively Volumetrized Deep Generative Models for Data-Efficient
  Contextual Learning of MR Image Recovery
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Mahmut Yurt
Muzaffer Özbey
S. Dar
Berk Tınaz
K. Oguz
Tolga Çukur
MedIm
35
29
0
27 Nov 2020
Deep Metric Learning-based Image Retrieval System for Chest Radiograph
  and its Clinical Applications in COVID-19
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19
Aoxiao Zhong
Xiang Li
Dufan Wu
Hui Ren
Kyungsang Kim
...
W. Chung
Ning Guo
I. Dayan
Mannudeep K. Kalra
Quanzheng Li
35
64
0
26 Nov 2020
Multiclass non-Adversarial Image Synthesis, with Application to
  Classification from Very Small Sample
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
Itamar Winter
D. Weinshall
GAN
22
0
0
25 Nov 2020
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation
  Proxy
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy
B. Kim
Jose Dolz
Christian Desrosiers
Pierre-Marc Jodoin
MedIm
30
4
0
25 Nov 2020
Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound
  Images using Convolutional Neural Networks
Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound Images using Convolutional Neural Networks
Mostafa Jahanifar
Neda Zamani Tajeddin
Meisam Hasani
B. Shekarchi
K. Azema
6
2
0
23 Nov 2020
Discriminative Localized Sparse Representations for Breast Cancer
  Screening
Discriminative Localized Sparse Representations for Breast Cancer Screening
S. Makrogiannis
Chelsea E. Harris
Keni Zheng
18
0
0
20 Nov 2020
Extracting and Learning Fine-Grained Labels from Chest Radiographs
Extracting and Learning Fine-Grained Labels from Chest Radiographs
Tanveer Syeda-Mahmood
Ph. D
Ken C. L. Wong
Ph. D
Joy T. Wu
...
M. P. H
A. Jadhav
Ph. D
Orest Boyko
M. D. Ph. D
33
7
0
18 Nov 2020
SoftSeg: Advantages of soft versus binary training for image
  segmentation
SoftSeg: Advantages of soft versus binary training for image segmentation
C. Gros
A. Lemay
Julien Cohen-Adad
38
72
0
18 Nov 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image
  Classification with Self-supervised Contrastive Learning
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Bin Li
Yin Li
K. Eliceiri
9
593
0
17 Nov 2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A
  Survey
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
Rosana El Jurdia
Caroline Petitjean
P. Honeine
Veronika Cheplygina
F. Abdallah
SSeg
MedIm
33
79
0
16 Nov 2020
Deep Learning -- A first Meta-Survey of selected Reviews across
  Scientific Disciplines, their Commonalities, Challenges and Research Impact
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact
Jan Egger
Antonio Pepe
Christina Schwarz-Gsaxner
Yuan Jin
Jianning Li
Roman Kern
OOD
VLM
AI4CE
31
30
0
16 Nov 2020
Deep multi-modal networks for book genre classification based on its
  cover
Deep multi-modal networks for book genre classification based on its cover
Chandra Kundu
Lukun Zheng
AI4TS
18
7
0
15 Nov 2020
Pollen Grain Microscopic Image Classification Using an Ensemble of
  Fine-Tuned Deep Convolutional Neural Networks
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks
A. Mahbod
Gerald Schaefer
R. Ecker
Isabella Ellinger
6
17
0
15 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of
  Histology Images via Max-Min Uncertainty
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
24
52
0
14 Nov 2020
Detection of masses and architectural distortions in digital breast
  tomosynthesis: a publicly available dataset of 5,060 patients and a deep
  learning model
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model
Mateusz Buda
Ashirbani Saha
R. Walsh
S. Ghate
Nianyi Li
Albert Swiecicki
J. Lo
Maciej A. Mazurowski
18
52
0
13 Nov 2020
Automatic segmentation with detection of local segmentation failures in
  cardiac MRI
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jörg Sander
B. D. de Vos
Ivana Išgum
25
50
0
13 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
56
1,883
0
12 Nov 2020
Artificial Neural Variability for Deep Learning: On Overfitting, Noise
  Memorization, and Catastrophic Forgetting
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
Zeke Xie
Fengxiang He
Shaopeng Fu
Issei Sato
Dacheng Tao
Masashi Sugiyama
21
60
0
12 Nov 2020
Skin disease diagnosis with deep learning: a review
Skin disease diagnosis with deep learning: a review
Hongfeng Li
Yini Pan
Jie Zhao
Li Zhang
24
101
0
11 Nov 2020
An ensemble-based approach by fine-tuning the deep transfer learning
  models to classify pneumonia from chest X-ray images
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images
Sagar Kora Venu
LM&MA
21
20
0
11 Nov 2020
Objective Diagnosis for Histopathological Images Based on Machine
  Learning Techniques: Classical Approaches and New Trends
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends
Naira Elazab
Hassan H. Soliman
Shaker El-Sappagh
S. Islam
Mohammed M Elmogy
17
20
0
10 Nov 2020
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised
  Semantic Segmentation
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
E. Stammes
Tom F. H. Runia
M. Hofmann
Mohsen Ghafoorian
21
9
0
09 Nov 2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of
  reticular pseudodrusen: towards automated and accessible classification of
  age-related macular degeneration
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration
Qingyu Chen
T. Keenan
Alexis Allot
Yifan Peng
Elvira Agrón
...
Chantal Cousineau-Krieger
W. Wong
Yingying Zhu
E. Chew
Zhiyong Lu
MedIm
33
20
0
09 Nov 2020
Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19
  Using Convolutional Neural Network
Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network
Xiao Qi
L. G. Brown
D. Foran
Ilker Hacihaliloglu
31
51
0
06 Nov 2020
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of
  DNNs
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs
Souvik Kundu
M. Nazemi
Peter A. Beerel
Massoud Pedram
AAML
18
67
0
03 Nov 2020
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
33
1,046
0
02 Nov 2020
Autonomous Robotic Screening of Tubular Structures based only on
  Real-Time Ultrasound Imaging Feedback
Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback
Zhongliang Jiang
Zhenyu Li
Matthias Grimm
Mingchuan Zhou
M. Esposito
W. Wein
W. Stechele
T. Wendler
Nassir Navab
22
66
0
30 Oct 2020
C-Net: A Reliable Convolutional Neural Network for Biomedical Image
  Classification
C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification
H. Barzekar
Zeyun Yu
22
40
0
30 Oct 2020
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung
  Nodule Classification
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification
M. Al-Shabi
Kelvin Shak
Maxine Tan
24
53
0
29 Oct 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for
  Medical Image Analysis
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang
Rui Shi
Bingbing Ni
VLM
34
295
0
28 Oct 2020
What is the best data augmentation for 3D brain tumor segmentation?
What is the best data augmentation for 3D brain tumor segmentation?
M. Cirillo
David Abramian
Anders Eklund
30
4
0
26 Oct 2020
Fine-tuning ERNIE for chest abnormal imaging signs extraction
Fine-tuning ERNIE for chest abnormal imaging signs extraction
Zhaoning Li
Jiangtao Ren
MedIm
22
6
0
25 Oct 2020
Tissue characterization based on the analysis on i3DUS data for
  diagnosis support in neurosurgery
Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery
Moucheng Xu
13
0
0
24 Oct 2020
Feature matching in Ultrasound images
Feature matching in Ultrasound images
Hangwei Zhu
Zihao Wang
19
2
0
23 Oct 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Jiancheng Yang
Yangzhou Jiang
Xiaoyang Huang
Bingbing Ni
Chenglong Zhao
AAML
18
81
0
21 Oct 2020
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