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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

27 August 2019
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
ArXivPDFHTML

Papers citing "Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation"

50 / 244 papers shown
Title
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic
  Resonance Imaging Using Deep Learning Models: A Review
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
M. Jafari
A. Shoeibi
Marjane Khodatars
Navid Ghassemi
Parisa Moridian
...
Yu-Dong Zhang
Shui-Hua Wang
Juan M Gorriz
Hamid Alinejad-Rokny
U. Acharya
30
0
0
26 Oct 2022
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for
  Medical Image Segmentation
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation
Zefan Yang
Di Lin
Dong Ni
Yi Wang
15
12
0
20 Oct 2022
Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant
  General Movement Assessment
Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment
Haomiao Ni
Yuan Xue
Liya Ma
Qian Zhang
Xiaoye Li
Xiaolei Huang
MedIm
27
38
0
14 Oct 2022
medigan: a Python library of pretrained generative models for medical
  image synthesis
medigan: a Python library of pretrained generative models for medical image synthesis
Richard Osuala
Grzegorz Skorupko
Noussair Lazrak
Lidia Garrucho
E. García
...
Michael Rutherford
Fred Prior
Kaisar Kushibar
Oliver Díaz
Karim Lekadir
LM&MA
MedIm
26
20
0
28 Sep 2022
Partial annotations for the segmentation of large structures with low
  annotation cost
Partial annotations for the segmentation of large structures with low annotation cost
Bella Specktor-Fadida
Daphna Link-Sourani
Liat Ben Sira Elka Miller
D. Ben Bashat
Leo Joskowicz
27
2
0
25 Sep 2022
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for
  Source-Relaxed Medical Image Segmentation
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Xiaofeng Liu
Fangxu Xing
G. El Fakhri
Jonghye Woo
OOD
37
30
0
16 Sep 2022
Deep learning automates bidimensional and volumetric tumor burden
  measurement from MRI in pre- and post-operative glioblastoma patients
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients
J. Nalepa
Krzysztof Kotowski
B. Machura
Szymon Adamski
O. Bożek
...
Marek Strzelczak
Lukasz Zarudzki
A. Krason
F. Arcadu
J. Tessier
21
18
0
03 Sep 2022
PyMIC: A deep learning toolkit for annotation-efficient medical image
  segmentation
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
Guotai Wang
Xiangde Luo
Ran Gu
Shuojue Yang
Yijie Qu
Shuwei Zhai
Qianfei Zhao
Kang Li
Shaoting Zhang
VLM
33
35
0
19 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
25
56
0
18 Aug 2022
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation
  Across Similar Anatomical Structures
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
Ran Gu
Jingyang Zhang
Guotai Wang
Wenhui Lei
Tao Song
Xiaofan Zhang
Kang Li
Shaoting Zhang
29
41
0
18 Aug 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and
  Perspectives
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Xiaofeng Liu
Chaehwa Yoo
Fangxu Xing
Hyejin Oh
G. El Fakhri
Je-Won Kang
Jonghye Woo
OOD
43
191
0
15 Aug 2022
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in
  Microscopy Images
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images
Marawan Elbatel
Christina Bornberg
Manasi Kattel
E. Almar
Claudio Marrocco
Alessandro Bria
26
3
0
05 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
29
152
0
28 Jul 2022
Two-Stream UNET Networks for Semantic Segmentation in Medical Images
Two-Stream UNET Networks for Semantic Segmentation in Medical Images
Xin Chen
Ke Ding
16
0
0
27 Jul 2022
RESECT-SEG: Open access annotations of intra-operative brain tumor
  ultrasound images
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
Bahareh Behboodi
F. Carton
M. Chabanas
S. Ribaupierre
O. Solheim
B. K. R. Munkvold
H. Rivaz
Yiming Xiao
Ingerid Reinertsen
6
6
0
13 Jul 2022
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised
  Memory-efficient Medical Image Segmentation
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation
Ziyuan Zhao
An Zhu
Zeng Zeng
B. Veeravalli
Cuntai Guan
24
9
0
05 Jul 2022
Learning to segment prostate cancer by aggressiveness from scribbles in
  bi-parametric MRI
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI
Audrey Duran
Gaspard Dussert
Carole Lartizien
24
3
0
01 Jul 2022
Neural Annotation Refinement: Development of a New 3D Dataset for
  Adrenal Gland Analysis
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
Jiancheng Yang
Rui Shi
Udaranga Wickramasinghe
Qikui Zhu
Bingbing Ni
Pascal Fua
3DH
MedIm
32
5
0
30 Jun 2022
On Image Segmentation With Noisy Labels: Characterization and Volume
  Properties of the Optimal Solutions to Accuracy and Dice
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
M. Nordström
Henrik Hult
J. Söderberg
F. Löfman
24
6
0
13 Jun 2022
ClamNet: Using contrastive learning with variable depth Unets for
  medical image segmentation
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation
Samayan Bhattacharya
Sk Shahnawaz
Avigyan Bhattacharya
17
1
0
10 Jun 2022
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with
  Asymmetric Co-training
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training
Xiaofeng Liu
Fangxu Xing
N. Shusharina
R. Lim
C.-C. Jay Kuo
G. El Fakhri
Jonghye Woo
OOD
16
22
0
05 Jun 2022
A Survey on Deep Learning for Skin Lesion Segmentation
A Survey on Deep Learning for Skin Lesion Segmentation
Z. Mirikharaji
Kumar Abhishek
Alceu Bissoto
Catarina Barata
Sandra Avila
Eduardo Valle
M. Celebi
Ghassan Hamarneh
39
82
0
01 Jun 2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Ziyuan Zhao
Wenjing Lu
Zeng Zeng
Kaixin Xu
B. Veeravalli
Cuntai Guan
31
8
0
14 May 2022
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect
  for Remote Work
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work
Pritam Sarkar
A. Posen
Ali Etemad
42
9
0
13 May 2022
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image
  Segmentation
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
Zhangfu Dong
Yuting He
Xiaoming Qi
Yang Chen
H. Shu
J. Coatrieux
Guanyu Yang
Shuo Li
26
43
0
10 May 2022
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training
  Strategies for Histopathological Image Segmentation
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation
Nikhil Cherian Kurian
Amit Lohan
G. Verghese
Nimish Dharamshi
S. Meena
...
Fangfang Liu
Cheryl Gillet
S. Rane
A. Grigoriadis
A. Sethi
SSeg
14
10
0
03 May 2022
Vision Transformers in Medical Computer Vision -- A Contemplative
  Retrospection
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection
Arshi Parvaiz
Muhammad Anwaar Khalid
Rukhsana Zafar
Huma Ameer
M. Ali
M. Fraz
MedIm
18
59
0
29 Mar 2022
Learning to segment fetal brain tissue from noisy annotations
Learning to segment fetal brain tissue from noisy annotations
Davood Karimi
C. Rollins
C. Velasco-Annis
Abdelhakim Ouaalam
Ali Gholipour
26
25
0
25 Mar 2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation
  with Limited Source Labels
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Ziyuan Zhao
Kaixin Xu
Shumeng Li
Zeng Zeng
Cuntai Guan
OOD
17
44
0
23 Mar 2022
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D
  Medical Image Segmentation
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation
Zhaotao Wu
Jia Wei
Jiabing Wang
Rui Li
15
4
0
21 Mar 2022
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient
  Medical Image Segmentation
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation
Wen Zou
Muyi Sun
38
18
0
16 Mar 2022
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive
  Recognition of Cereal Grains
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
Lei Fan
Yiwen Ding
Dongdong Fan
Donglin Di
M. Pagnucco
Yang Song
AI4TS
29
19
0
10 Mar 2022
Self-supervised Image-specific Prototype Exploration for Weakly
  Supervised Semantic Segmentation
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
Qi Chen
Lingxiao Yang
Jianhuang Lai
Xiaohua Xie
VLM
33
132
0
06 Mar 2022
CycleMix: A Holistic Strategy for Medical Image Segmentation from
  Scribble Supervision
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision
Kecheng Zhang
Xiahai Zhuang
21
68
0
03 Mar 2022
Stochastic Modeling of Inhomogeneities in the Aortic Wall and
  Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate
Sascha Ranftl
Malte Rolf-Pissarczyk
G. Wolkerstorfer
Antonio Pepe
Jan Egger
W. Linden
G. Holzapfel
31
9
0
21 Feb 2022
Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer
  Vision
Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer Vision
Patrick M. Jensen
N. Jeppesen
A. Dahl
Vedrana Andersen Dahl
16
8
0
01 Feb 2022
A tomographic workflow to enable deep learning for X-ray based foreign
  object detection
A tomographic workflow to enable deep learning for X-ray based foreign object detection
Mathé T. Zeegers
Tristan van Leeuwen
D. Pelt
S. Coban
R. V. Liere
K. Batenburg
23
4
0
28 Jan 2022
Unsupervised Single-shot Depth Estimation using Perceptual
  Reconstruction
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction
Christoph Angermann
Matthias Schwab
Markus Haltmeier
Christian Laubichler
Steinbjörn Jónsson
27
5
0
28 Jan 2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical
  Segmentation on Less Labeled Data
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
Minh-Khoi Tran
Loi Ly
Binh-Son Hua
Ngan Le
3DPC
MedIm
28
17
0
15 Jan 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury
  Segmentation with Limited Data
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
Yuyin Zhou
D. Dreizin
Yan Wang
Fengze Liu
Wei Shen
Alan Yuille
20
16
0
04 Jan 2022
iSegFormer: Interactive Segmentation via Transformers with Application
  to 3D Knee MR Images
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images
Qin Liu
Zhenlin Xu
Yining Jiao
Marc Niethammer
ViT
MedIm
49
37
0
21 Dec 2021
Leveraging Image Complexity in Macro-Level Neural Network Design for
  Medical Image Segmentation
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation
T. M. Khan
Syed S. Naqvi
Erik H. W. Meijering
SSeg
32
24
0
21 Dec 2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised
  Medical Image Segmentation
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Rushi Jiao
Qingcheng Liao
Dongyang Li
Jicong Zhang
35
56
0
05 Dec 2021
ContIG: Self-supervised Multimodal Contrastive Learning for Medical
  Imaging with Genetics
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
Aiham Taleb
Matthias Kirchler
Remo Monti
C. Lippert
SSL
MedIm
33
54
0
26 Nov 2021
Look at here : Utilizing supervision to attend subtle key regions
Look at here : Utilizing supervision to attend subtle key regions
Changhwan Lee
Yeesuk Kim
Bong Gun Lee
D. Kim
Jongseong Jang
24
1
0
25 Nov 2021
Generalizing electrocardiogram delineation -- Training convolutional
  neural networks with synthetic data augmentation
Generalizing electrocardiogram delineation -- Training convolutional neural networks with synthetic data augmentation
Guillermo Jiménez-Pérez
J. Acosta
A. Alcaine
Oscar Camara
30
7
0
25 Nov 2021
One-shot Weakly-Supervised Segmentation in Medical Images
One-shot Weakly-Supervised Segmentation in Medical Images
Wenhui Lei
Q. Su
Ran Gu
Na Wang
Xinglong Liu
Guotai Wang
Xiaofan Zhang
Shaoting Zhang
12
2
0
21 Nov 2021
Multi-Modality Cardiac Image Analysis with Deep Learning
Multi-Modality Cardiac Image Analysis with Deep Learning
Lei Li
Fuping Wu
Sihan Wang
Xiahai Zhuang
17
0
0
08 Nov 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges,
  and Future Directions
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions
Huy P Phan
Kaare B. Mikkelsen
19
93
0
03 Nov 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using
  Task-Agnostic Training
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training
Sangjoon Park
Gwanghyun Kim
Jeongsol Kim
Boah Kim
Jong Chul Ye
ViT
FedML
MedIm
36
30
0
02 Nov 2021
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