A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks

4 June 2025

Papers citing "A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks"

50 / 63 papers shown

Title
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation Abdelrahman M. Shaker Muhammad Maaz H. Rasheed Salman Khan Ming-Hsuan Yang Fahad Shahbaz Khan MedIm 91 151 0 08 Dec 2022
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation Ziyuan Zhao Fangcheng Zhou Kaixin Xu Zeng Zeng Cuntai Guan S Kevin Zhou OOD 85 45 0 05 Dec 2022
Extending nnU-Net is all you need Fabian Isensee Constantin Ulrich Tassilo Wald Klaus H. Maier-Hein SSeg 42 33 0 23 Aug 2022
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images Y. Jeon Hongfei Yang Mengling Feng 63 2 0 29 Jul 2022
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video Qi Chang Danish Ahmad J.W. Toth R. Bascom W. Higgins MedIm 63 49 0 15 Jul 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection Linhai Ma Liang Liang OOD 67 6 0 02 Jun 2022
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation Ngoc-Vuong Ho Tan H. Nguyen Gia-Han Diep Ngan Le Binh-Son Hua 3DPC 80 23 0 16 Mar 2022
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI Lyndon Boone Mahdi Biparva Parisa Mojiri Forooshani Joel Ramirez Mario Masellis ... Sandra E. Black Chris Heyn Anne L. Martel Richard H. Swartz Maged Goubran OOD 51 16 0 11 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,149 0 01 Mar 2022
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation Hilda Azimi Jianxing Zhang Pengcheng Xi H. Asad Ashkan Ebadi Stéphane Tremblay Alexander Wong 85 8 0 22 Feb 2022
From Explanations to Segmentation: Using Explainable AI for Image Segmentation Clemens Seibold Johannes Kunzel Anna Hilsmann Peter Eisert SSeg 68 7 0 01 Feb 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat Fahad Shahbaz Khan Huazhu Fu ViT LM&MA MedIm 187 698 0 24 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 123 1,133 0 04 Jan 2022
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series Shubhranshu Shekhar D. Eswaran Bryan Hooi J. Elmer Christos Faloutsos Leman Akoglu 126 18 0 11 Nov 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 82 106 0 07 Oct 2021
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation Chenyu You Yuan Zhou Ruihan Zhao Lawrence H. Staib James S. Duncan 103 227 0 13 Aug 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 87 187 0 27 May 2021
Medical Image Segmentation Using Squeeze-and-Expansion Transformers Shaohua Li Xiuchao Sui Xiangde Luo Xinxing Xu Yong Liu Rick Siow Mong Goh ViT MedIm 61 167 0 20 May 2021
Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation E. Uysal M.cSafak Bilici B. S. Zaza M. Y. Ozgencc O. Boyar 78 14 0 19 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 463 21,564 0 25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 182 1,612 0 18 Mar 2021
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images Anas Tahir M. Chowdhury Amith Khandakar Tawsifur Rahman Yazan Qiblawey ... Somaya Al-Madeed K. Hameed Tahir Hamid S. Mahmud Maymouna Ezeddin 94 147 0 14 Mar 2021
SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography Jinke Wang Peiqing Lv Haiying Wang Changfa Shi SSeg 71 107 0 11 Mar 2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation Yichi Zhang Jicong Zhang SSL 96 41 0 08 Mar 2021
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images A. Iantsen D. Visvikis M. Hatt 69 60 0 20 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 98 3,492 0 08 Feb 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 101 71 0 07 Jan 2021
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 71 54 0 14 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng Asoke K. Nandi SSeg OOD 80 569 0 28 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu Guotai Wang Tao Song Rui Huang Michael Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang SSeg 107 469 0 22 Sep 2020
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation Yuexiang Li Jiawei Chen Xinpeng Xie Kai Ma Yefeng Zheng UQCV 64 95 0 20 Jul 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 103 300 0 09 Jun 2020
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation Debesh Jha Michael A. Riegler Dag Johansen Pål Halvorsen Haavard D. Johansen SSeg 54 603 0 08 Jun 2020
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation M. Jafari Dorothee Auer S. Francis J. Garibaldi Xin Chen SSeg MedIm 60 60 0 28 Apr 2020
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation Huimin Huang Lanfen Lin Ruofeng Tong Hongjie Hu Qiaowei Zhang Yutaro Iwamoto Xianhua Han Yenwei Chen Jian Wu SSeg 65 1,799 0 19 Apr 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation Cheng Chen Qi Dou Hao Chen J. Qin Pheng Ann Heng 111 314 0 06 Feb 2020
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation Zhenxi Zhang Jie Li Zhusi Zhong Zhicheng Jiao Xinbo Gao 3DV 70 14 0 18 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 144 18,168 0 28 May 2019
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger ... Jakob Wasserthal Gregor Koehler T. Norajitra Sebastian J. Wirkert Klaus H. Maier-Hein SSeg 93 789 0 27 Sep 2018
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks Abhijit Guha Roy Nassir Navab Christian Wachinger SSeg 110 380 0 23 Aug 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 103 6,160 0 18 Jul 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation Saeid Asgari Taghanaki Yefeng Zheng S. Kevin Zhou Bogdan Georgescu Puneet Sharma Daguang Xu Dorin Comaniciu Ghassan Hamarneh 79 336 0 08 May 2018
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 138 3,324 0 24 Feb 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 112 2,306 0 30 Oct 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,539 0 05 Sep 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task Wenqi Li Guotai Wang Lucas Fidon Sebastien Ourselin M. Jorge Cardoso Tom Vercauteren 3DV 97 339 0 06 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 232 8,481 0 17 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,199 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,880 0 17 Apr 2017