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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 / 243 papers shown
Title
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation
Anne-Marie Rickmann
S. Thorn
S. Ahn
Supum Lee
Selen Uman
...
Nicole Guerrera
Francis G. Spinale
Jason A. Burdick
Albert J Sinusas
James S. Duncan
MedIm
23
0
0
14 May 2025
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models
Daria Zotova
Nicolas Pinon
Robin Trombetta
R. Bouet
Julien Jung
Carole Lartizien
MedIm
33
0
0
12 May 2025
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
Chuyu Zhao
Hao Huang
Jiashuo Guo
Ziyu Shen
Zhongwei Zhou
Jie Liu
Zekuan Yu
45
0
0
06 May 2025
TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
Walid Rehamnia
A. Getmanskaya
Evgeniy Vasilyev
Vadim Turlapov
29
0
0
17 Apr 2025
From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation
From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation
Jingkun Chen
Haoran Duan
Xiao Zhang
Boyan Gao
T. Tan
Vicente Grau
Jungong Han
19
0
0
15 Apr 2025
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Siteng Ma
Honghui Du
Yu An
Jing Wang
Qinqin Wang
Haochang Wu
Aonghus Lawlor
Ruihai Dong
37
0
0
15 Apr 2025
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
Ke Zhang
Vishal M. Patel
49
0
0
28 Mar 2025
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation
Pengchen Liang
Haishan Huang
Bin Pu
Jianguo Chen
Xiang Hua
Jing Zhang
Weibo Ma
Z. Chen
Yiwei Li
Qing Chang
43
0
0
10 Mar 2025
Learnable Prompting SAM-induced Knowledge Distillation for
  Semi-supervised Medical Image Segmentation
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
Kaiwen Huang
Tao Zhou
Huazhu Fu
Yizhe Zhang
Yi Zhou
Chen Gong
Dong Liang
VLM
64
2
0
18 Dec 2024
Topology and Intersection-Union Constrained Loss Function for
  Multi-Region Anatomical Segmentation in Ocular Images
Topology and Intersection-Union Constrained Loss Function for Multi-Region Anatomical Segmentation in Ocular Images
Ruiyu Xia
Jianqiang Li
Xi Xu
Guanghui Fu
36
0
0
01 Nov 2024
Impact of imperfect annotations on CNN training and performance for
  instance segmentation and classification in digital pathology
Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology
Laura Gálvez Jiménez
Christine Decaestecker
23
1
0
18 Oct 2024
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN
  Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
Xiaoxiang Han
Xinyu Li
Jiang Shang
Yiman Liu
Keyan Chen
Qiaohong Liu
Qi Zhang
Qi Zhang
Mamba
22
0
0
28 Sep 2024
Shape-intensity knowledge distillation for robust medical image
  segmentation
Shape-intensity knowledge distillation for robust medical image segmentation
Wenhui Dong
Bo Du
Yongchao Xu
26
0
0
26 Sep 2024
A novel open-source ultrasound dataset with deep learning benchmarks for
  spinal cord injury localization and anatomical segmentation
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation
Avisha Kumar
Kunal Kotkar
Kelly Jiang
Meghana Bhimreddy
Daniel Davidar
...
Ian Suk
Jennifer Son
Nicholas Theodore
Nitish Thakor
A. Manbachi
35
1
0
24 Sep 2024
MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything
  Model for Semi-Supervised Prostate Zone Segmentation
MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation
Guantian Huang
Beibei Li
Xiaobing Fan
Aritrick Chatterjee
Cheng Wei
Shouliang Qi
Wei Qian
Dianning He
16
0
0
20 Sep 2024
Autoregressive Sequence Modeling for 3D Medical Image Representation
Autoregressive Sequence Modeling for 3D Medical Image Representation
Siwen Wang
Churan Wang
Fei Gao
Lixian Su
Fandong Zhang
Yizhou Wang
Yizhou Yu
MedIm
21
1
0
13 Sep 2024
SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating
  Medical Images
SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images
Zafer Yildiz
Yuwen Chen
Maciej Mazurowski
MedIm
24
4
0
27 Aug 2024
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE
  2023 Challenge
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge
Jun Ma
Yao Zhang
Song Gu
Cheng Ge
Ershuai Wang
Qin Zhou
Ziyan Huang
Pengju Lyu
Jian He
Bo Wang
34
7
0
22 Aug 2024
Exploring learning environments for label\-efficient cancer diagnosis
Exploring learning environments for label\-efficient cancer diagnosis
Samta Rani
T. Ahmad
Sarfaraz Masood
Chandni Saxena
20
0
0
15 Aug 2024
Gradient Alignment Improves Test-Time Adaptation for Medical Image
  Segmentation
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
Ziyang Chen
Yiwen Ye
Yongsheng Pan
Yong Xia
27
1
0
14 Aug 2024
Segment Anything in Medical Images and Videos: Benchmark and Deployment
Segment Anything in Medical Images and Videos: Benchmark and Deployment
Jun Ma
Sumin Kim
Feifei Li
Mohammed Baharoon
Reza Asakereh
Hongwei Lyu
Bo Wang
VLM
MedIm
42
31
0
06 Aug 2024
The Devil is in the Statistics: Mitigating and Exploiting Statistics
  Difference for Generalizable Semi-supervised Medical Image Segmentation
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
Muyang Qiu
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
35
3
0
16 Jul 2024
Let Me DeCode You: Decoder Conditioning with Tabular Data
Let Me DeCode You: Decoder Conditioning with Tabular Data
Tomasz Szczepañski
Michal K. Grzeszczyk
Szymon Płotka
Arleta Adamowicz
Piotr Fudalej
Przemysław Korzeniowski
Tomasz Trzciñski
Arkadiusz Sitek
AI4CE
32
1
0
12 Jul 2024
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across
  Tasks for Few-scribble based Cardiac Segmentation
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation
Ke Zhang
Vishal M. Patel
39
2
0
19 Jun 2024
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level
  Contrastive Learning and Dynamic Mix Augmentation
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation
Yu Lei
Haolun Luo
Lituan Wang
Zhenwei Zhang
Lei Zhang
28
1
0
10 May 2024
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image
  Segmentation
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi
Jian Pang
Bingfeng Zhang
Weifeng Liu
33
9
0
01 May 2024
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
Yiming Che
Fazle Rafsani
Jay Shah
M. R. Siddiquee
Teresa Wu
MedIm
DiffM
62
1
0
24 Apr 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Jiaxin Zhuang
Linshan Wu
Qiong Wang
V. Vardhanabhuti
Lin Luo
Hao Chen
Hao Chen
54
4
0
24 Apr 2024
COIN: Counterfactual inpainting for weakly supervised semantic
  segmentation for medical images
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
Dmytro Shvetsov
Joonas Ariva
M. Domnich
Raul Vicente
Dmytro Fishman
MedIm
32
0
0
19 Apr 2024
Pre-processing matters: A segment search method for WSI classification
Pre-processing matters: A segment search method for WSI classification
Jun Wang
Yufei Cui
Yu Mao
Nan Guan
Chun Jason Xue
27
0
0
17 Apr 2024
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area
  Segmentation
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation
Qing En
Yuhong Guo
21
0
0
17 Apr 2024
MatchSeg: Towards Better Segmentation via Reference Image Matching
MatchSeg: Towards Better Segmentation via Reference Image Matching
Ruiqiang Xiao
Jiayu Huo
Haotian Zheng
Yang Liu
Sebastien Ourselin
Rachel Sparks
VLM
MedIm
28
1
0
23 Mar 2024
Enhancing Weakly Supervised 3D Medical Image Segmentation through
  Probabilistic-aware Learning
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning
Zhaoxin Fan
Runmin Jiang
Junhao Wu
Xin Huang
Tianyang Wang
Heng Huang
Min Xu
27
2
0
05 Mar 2024
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
Yu Ming
Zihao Wu
Jie Yang
Danyi Li
Yuan Gao
Changxin Gao
Gui-Song Xia
Yuanqing Li
Li Liang
Jin-Gang Yu
27
0
0
26 Feb 2024
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and
  DINOv2 in Medical Imaging Classification
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
Yuning Huang
Jingchen Zou
Lanxi Meng
Xin Yue
Qing Zhao
Jianqiang Li
Changwei Song
Gabriel Jimenez
Shaowu Li
Guanghui Fu
25
8
0
12 Feb 2024
Intensive Vision-guided Network for Radiology Report Generation
Intensive Vision-guided Network for Radiology Report Generation
Fudan Zheng
Mengfei Li
Ying Wang
Weijiang Yu
Ruixuan Wang
Zhiguang Chen
Nong Xiao
Yutong Lu
25
1
0
06 Feb 2024
Beyond Strong labels: Weakly-supervised Learning Based on Gaussian
  Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in
  Non-contrast CTs
Beyond Strong labels: Weakly-supervised Learning Based on Gaussian Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in Non-contrast CTs
Qixiang Ma
Antoine Lucas
Huazhong Shu
A. Kaladji
P. Haigron
24
0
0
05 Feb 2024
ScribFormer: Transformer Makes CNN Work Better for Scribble-based
  Medical Image Segmentation
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation
Zihan Li
Yuan Zheng
Dandan Shan
Shuzhou Yang
Qingde Li
Beizhan Wang
Yuan-ting Zhang
Qingqi Hong
Dinggang Shen
ViT
MedIm
24
39
0
03 Feb 2024
MOSformer: Momentum encoder-based inter-slice fusion transformer for
  medical image segmentation
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
De-Xing Huang
Xiao-Hu Zhou
Xiaoliang Xie
Shiqi Liu
Zhen-Qiu Feng
Mei-Jiang Gui
Hao Li
Tian-Yu Xiang
Xiu-Ling Liu
Zeng-Guang Hou
MedIm
36
1
0
22 Jan 2024
ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers
ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers
Yifeng Wang
Ke Chen
Haohan Wang
MedIm
23
1
0
12 Jan 2024
Segment Anything Model for Medical Image Segmentation: Current
  Applications and Future Directions
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Yichi Zhang
Zhenrong Shen
Rushi Jiao
VLM
MedIm
26
113
0
07 Jan 2024
AttenScribble: Attentive Similarity Learning for Scribble-Supervised
  Medical Image Segmentation
AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation
Mu Tian
Qin Yang
Yi Gao
MedIm
21
0
0
11 Dec 2023
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic
  Segmentation
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation
Hui Xie
Weiyu Xu
Ya Xing Wang
John Buatti
Xiaodong Wu
SSeg
18
0
0
07 Dec 2023
Deep learning-based instance segmentation for the precise automated
  quantification of digital breast cancer immunohistochemistry images
Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images
Blanca Maria Priego Torres
Bárbara Lobato-Delgado
L. Atienza-Cuevas
D. S. Morillo
17
19
0
22 Nov 2023
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion
  Segmentation
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation
Xin Yue
Xiaoling Liu
Qing Zhao
Jianqiang Li
Changwei Song
Suqin Liu
Zhikai Yang
Guanghui Fu
MedIm
26
2
0
18 Nov 2023
Transfer learning from a sparsely annotated dataset of 3D medical images
Transfer learning from a sparsely annotated dataset of 3D medical images
Gabriel Efrain Humpire-Mamani
Colin Jacobs
Mathias Prokop
Bram van Ginneken
Nikolas Lessmann
12
0
0
08 Nov 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
44
22
0
22 Oct 2023
Competitive Ensembling Teacher-Student Framework for Semi-Supervised
  Left Atrium MRI Segmentation
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation
Yuyan Shi
Yichi Zhang
Shasha Wang
17
7
0
21 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
37
12
0
10 Oct 2023
A Survey on Image-text Multimodal Models
A Survey on Image-text Multimodal Models
Ruifeng Guo
Jingxuan Wei
Linzhuang Sun
Khai Le-Duc
Guiyong Chang
Dawei Liu
Sibo Zhang
Zhengbing Yao
Mingjun Xu
Liping Bu
VLM
31
5
0
23 Sep 2023
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