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"

44 / 244 papers shown

Title
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 22 82 0 04 Dec 2020
Contour Transformer Network for One-shot Segmentation of Anatomical Structures Yuhang Lu K. Zheng Weijian Li Yirui Wang Adam P. Harrison ... Song Wang Jing Xiao Le Lu C. Kuo S. Miao MedIm 28 22 0 02 Dec 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation Yutong Xie Jianpeng Zhang Zehui Liao Yong-quan Xia Chunhua Shen 13 46 0 25 Nov 2020
Deep learning for biomedical photoacoustic imaging: A review J. Gröhl Melanie Schellenberg Kris K. Dreher Lena Maier-Hein 35 191 0 05 Nov 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? Jun Ma Yao Zhang Song Gu Cheng Zhu Cheng Ge ... Shangqing Liu Yunpeng Wang Yuhui Li Jian He Xiaoping Yang SSeg OOD 26 325 0 28 Oct 2020
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions Yichi Zhang Qingcheng Liao Leiting Ding Jicong Zhang 3DV 23 80 0 13 Oct 2020
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors Zhe Jiang M. Kirby Wenchong He Arpan Man Sainju 8 1 0 02 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 33 544 0 28 Sep 2020
Going to Extremes: Weakly Supervised Medical Image Segmentation H. Roth D. Yang Ziyue Xu Xiaosong Wang Daguang Xu 19 59 0 25 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT K. Yan Jinzheng Cai Youjing Zheng Adam P. Harrison D. Jin Youbao Tang Yuxing Tang Lingyun Huang Jing Xiao Le Lu 42 84 0 05 Sep 2020
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation Ashwin Raju Zhanghexuan Ji Chi-Tung Cheng Jinzheng Cai Junzhou Huang Jing Xiao Le Lu Chien-Hung Liao Adam P. Harrison 36 13 0 05 Sep 2020
Deep Structure Learning using Feature Extraction in Trained Projection Space Christoph Angermann Markus Haltmeier 3DV 3DPC 19 6 0 01 Sep 2020
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images Saul Calderon-Ramirez Shengxiang-Yang Armaghan Moemeni David Elizondo Simon Colreavy-Donnelly Luis Fernando Chavarria-Estrada Miguel A. Molina-Cabello 23 43 0 19 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 55 624 0 02 Aug 2020
Learning to Segment Anatomical Structures Accurately from One Exemplar Yuhang Lu Weijian Li K. Zheng Yirui Wang Adam P. Harrison ... Song Wang Jing Xiao Le Lu C. Kuo S. Miao MedIm 21 16 0 06 Jul 2020
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 16 5 0 02 Jul 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation Chia-Ju Chen C. Qin Huaqi Qiu Cheng Ouyang Shuo Wang Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 23 82 0 23 Jun 2020
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge Xiahai Zhuang Jiahang Xu Xinzhe Luo Chia-Ju Chen Cheng Ouyang ... Jiexiang Wang Xinghao Ding Xinyue Wang Sen Yang Lei Li 37 79 0 22 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset A. Signoroni Mattia Savardi Sergio Benini Nicola Adami R. Leonardi ... F. Vaccher M. Ravanelli A. Borghesi R. Maroldi D. Farina 19 37 0 08 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 27 75 0 06 Jun 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks Davood Karimi Simon K. Warfield Ali Gholipour MedIm 14 19 0 30 May 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets K. Yan Jinzheng Cai Adam P. Harrison D. Jin Jing Xiao Le Lu 18 17 0 28 May 2020
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation Ashwin Raju Chi-Tung Cheng Yunakai Huo Jinzheng Cai Junzhou Huang Jing Xiao Le Lu Chien-Han Liao Adam P. Harrison 21 27 0 27 May 2020
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation Vinícius Ribeiro Sandra Avila Eduardo Valle 8 12 0 28 Apr 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao 11 962 0 22 Apr 2020
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts Gaurav Fotedar Nima Tajbakhsh Shilpa P. Ananth Xiaowei Ding 14 17 0 15 Apr 2020
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation Karthik Gopinath Christian Desrosiers H. Lombaert OOD 12 11 0 31 Mar 2020
An Efficient Framework for Automated Screening of Clinically Significant Macular Edema Renoh Johnson Chalakkal Faizal M. F. Hafiz W. Abdulla Akshya Swain 11 22 0 20 Jan 2020
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks Yuhua Chen Dan Ruan Jiayu Xiao Lixia Wang Bin Sun R. Saouaf Wensha Yang Debiao Li Z. Fan 21 58 0 23 Dec 2019
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images Zoé Lambert Caroline Petitjean B. Dubray S. Ruan OOD 20 3 0 12 Dec 2019
Multimodal Self-Supervised Learning for Medical Image Analysis Aiham Taleb C. Lippert T. Klein Moin Nabi SSL 13 95 0 11 Dec 2019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 27 2,568 0 11 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 0 05 Dec 2019
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps Umaseh Sivanesan Luis H. Braga R. Sonnadara Kiret Dhindsa GAN MedIm 19 12 0 12 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 42 667 0 16 Oct 2019
ErrorNet: Learning error representations from limited data to improve vascular segmentation Nima Tajbakhsh B. Lai Shilpa P. Ananth Xiaowei Ding MedIm 37 16 0 10 Oct 2019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis Samuel Budd E. C. Robinson Bernhard Kainz LM&MA 6 469 0 07 Oct 2019
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders Pierre-Henri Conze S. Brochard Valérie Burdin F. Sheehan C. Pons MedIm 18 47 0 06 Jan 2019
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 183 124 0 29 Nov 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 55 185 0 11 Jun 2018
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 40 330 0 27 Feb 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 304 10,618 0 19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015