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

27 August 2019

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

50 / 244 papers shown

Title
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images Shuai Wang T. Yanagihara B. Chera Colette J. Shen Daniel Pastor J. Lian 27 0 0 23 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data H. Cui Dong Wei Kai Ma Shi Gu Yefeng Zheng 25 39 0 18 Oct 2021
Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks E. Bonmati Yipeng Hu A. Grimwood G. Johnson G. Goodchild ... K. Gurusamy Brian P. Davidson Matthew J. Clarkson Stephen P. Pereira D. Barratt 21 15 0 12 Oct 2021
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout Yamen Ali Aiham Taleb Marina M.-C. Höhne C. Lippert SSL 3DPC 24 6 0 29 Sep 2021
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention Guotai Wang Shuwei Zhai G. Lasio Baoshe Zhang B. Yi Shifeng Chen T. MacVittie Dimitris N. Metaxas Jinghao Zhou Shaoting Zhang MedIm 50 66 0 29 Sep 2021
Deep Anomaly Generation: An Image Translation Approach of Synthesizing Abnormal Banded Chromosome Images Lukas Uzolas Javier Rico Pierrick Coupé Juan C. Sanmiguel G. Cserey MedIm 35 6 0 20 Sep 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging Karim Lekadira Richard Osuala C. Gallin Noussair Lazrak Kaisar Kushibar ... Nickolas Papanikolaou Zohaib Salahuddin Henry C. Woodruff Philippe Lambin L. Martí-Bonmatí AI4TS 71 56 0 20 Sep 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 176 0 17 Sep 2021
Weakly Supervised Few-Shot Segmentation Via Meta-Learning P. H. T. Gama Hugo Oliveira J. M. Junior J. D. Santos VLM 27 19 0 03 Sep 2021
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 18 6 0 26 Aug 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 36 8 0 26 Aug 2021
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation Xinru Zhang Chenghao Liu N. Ou Xiangzhu Zeng Xiaoliang Xiong Yizhou Yu Zhiwen Liu Chuyang Ye 19 32 0 16 Aug 2021
Learning to Segment Medical Images from Few-Shot Sparse Labels P. H. T. Gama Hugo Oliveira J. A. dos Santos 12 7 0 12 Aug 2021
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation Haonan Peng Shan Lin Daniel King Yun-Hsuan Su Randall Bly K. Moe Blake Hannaford MedIm 21 6 0 07 Aug 2021
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney W. Kuo D. Rossinelli G. Schulz R. Wenger S. Hieber B. Müller V. Kurtcuoglu 16 8 0 04 Aug 2021
Can non-specialists provide high quality gold standard labels in challenging modalities? Samuel Budd Thomas Day J. Simpson K. Lloyd Jacqueline Matthew E. Skelton Reza Razavi Bernhard Kainz 17 8 0 30 Jul 2021
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation V. Nath Dong Yang Ali Hatamizadeh Anas Abidin Andriy Myronenko H. Roth Daguang Xu 25 5 0 12 Jul 2021
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images N. Zettler André Mastmeyer SSeg 27 21 0 08 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 32 41 0 07 Jul 2021
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation Yunhe Gao Mu Zhou Dimitris N. Metaxas MedIm ViT 11 425 0 02 Jul 2021
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering Lars Schmarje M. Santarossa Simon-Martin Schroder Claudius Zelenka R. Kiko J. Stracke N. Volkmann Reinhard Koch 30 10 0 30 Jun 2021
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation Chenhong Zhou Feng Liu Chen Gong Rongfei Zeng Tongliang Liu W. Cheung Bo Han OOD 60 1 0 11 Jun 2021
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey Changhee Han Takayuki Okamoto Koichi Takeuchi Dimitris Katsios Andrey Grushnikov Masaaki Kobayashi Antoine Choppin Yuta Kurashina Yuki Shimahara 14 2 0 02 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 572 0 27 May 2021
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation Shumeng Li Ziyuan Zhao Kaixin Xu Zeng Zeng Cuntai Guan 3DV 13 38 0 21 May 2021
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation M. Kazemimoghadam W. Chi A. Rahimi Nathan Kim P. Alluri C. Nwachukwu Wei Lu X. Gu 30 8 0 06 May 2021
AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy Yunxiang Li G. Zeng Yifan Zhang Jun Wang Qianni Zhang ... Neng Xia Ruizi Peng Kai Tang Yaqi Wang Shuai Wang MedIm AI4CE 92 28 0 02 May 2021
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains Fabian Gröger Anne-Marie Rickmann Christian Wachinger 24 4 0 23 Apr 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation Dwarikanath Mahapatra 20 53 0 13 Apr 2021
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond Anneke Meyer Suhita Ghosh D. Schindele M. Schostak Sebastian Stober C. Hansen Marko Rak 28 16 0 08 Apr 2021
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays Luyang Luo Hao Chen Yanning Zhou Huangjing Lin Pheng-Ann Pheng 11 8 0 07 Apr 2021
Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs Christoph Angermann Adéla Moravová Markus Haltmeier Steinbjörn Jónsson Christian Laubichler GAN MDE 3DV 17 0 0 31 Mar 2021
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data Bolin Lai Yuhsuan Wu Xiaoyun Zhou Peng Wang Le Lu Lingyun Huang Mei Han Jing Xiao Heping Hu Adam P. Harrison 29 2 0 24 Mar 2021
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation Qinji Yu K. Dang Nima Tajbakhsh Demetri Terzopoulos Xiaowei Ding SSeg 14 48 0 18 Mar 2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation Yichi Zhang Jicong Zhang SSL 36 38 0 08 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021
Uncertainty-based method for improving poorly labeled segmentation datasets Ekaterina Redekop A. Chernyavskiy UQCV 17 10 0 16 Feb 2021
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors Umaseh Sivanesan Luis H. Braga R. Sonnadara Kiret Dhindsa GAN MedIm 19 2 0 04 Feb 2021
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI Tarun Kanti Ghosh Md. Kamrul Hasan Shidhartho Roy Md. Ashraful Alam Eklas Hossain Mohiudding Ahmad 15 18 0 03 Feb 2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation Vien Ngoc Dang Francesco Galati Rosa Cortese G. Giacomo Viola Marconeto Pratek Mathur Karim Lekadir Marco Lorenzi F. Prados Maria A. Zuluaga MedIm 25 35 0 22 Jan 2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation Ziyuan Zhao Zeng Zeng Kaixin Xu Cen Chen Cuntai Guan 21 65 0 22 Jan 2021
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks Sven Koehler T. Hussain Zach Blair T. Huffaker Florian Ritzmann ... S. Sarikouch H. Latus G. Greil I. Wolf Sandy Engelhardt 24 8 0 19 Jan 2021
MRI Images, Brain Lesions and Deep Learning D. Castillo Vasudevan Lakshminarayanan M. Rodríguez-Álvarez OOD 30 3 0 13 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? Jun Ma 64 25 0 01 Jan 2021
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation Yichi Zhang Qingcheng Liao Lin Yuan He Zhu Jiezhen Xing Jicong Zhang 52 23 0 31 Dec 2020
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning Lu Wang D. Guo Guotai Wang Shaoting Zhang MedIm GAN 13 29 0 29 Dec 2020
Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks Jelica Vasiljević Friedrich Feuerhake Cédric Wemmert T. Lampert GAN OOD MedIm 11 37 0 22 Dec 2020
Automated Multi-Channel Segmentation for the 4D Myocardial Velocity Mapping Cardiac MR Yinzhe Wu S. Hatipoglu D. Alonso-Álvarez P. Gatehouse D. Firmin J. Keegan Guang Yang 13 3 0 16 Dec 2020
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline Beibin Li E. Mercan Sachin Mehta S. Knezevich C. Arnold D. Weaver J. Elmore Linda G. Shapiro 15 6 0 11 Dec 2020
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 39 176 0 09 Dec 2020