mlsanityData to 7 Oct 2026

ResUNet++: An Advanced Architecture for Medical Image Segmentation

arXiv 1911.07067 ↗First posted 16 Nov 2019eess.IV cs.CVcited by 211

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Abstract (arXiv)

Accurate computer-aided polyp detection and segmentation during colonoscopy examinations can help endoscopists resect abnormal tissue and thereby decrease chances of polyps growing into cancer. Towards developing a fully automated model for pixel-wise polyp segmentation, we propose ResUNet++, which is an improved ResUNet architecture for colonoscopic image segmentation. Our experimental evaluations show that the suggested architecture produces good segmentation results on publicly available datasets. Furthermore, ResUNet++ significantly outperforms U-Net and ResUNet, two key state-of-the-art deep learning architectures, by achieving high evaluation scores with a dice coefficient of 81.33%, and a mean Intersection over Union (mIoU) of 79.27% for the Kvasir-SEG dataset and a dice coefficient of 79.55%, and a mIoU of 79.62% with CVC-612 dataset.

Key facts. Cited by 211 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Nov 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 33; 2022: 27; 2023: 43; 2024: 48; 2025: 38; 2026: 22.

211 papers.

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  1. 2021TransFuse: Fusing Transformers and CNNs for Medical Image Segmentationcited by 258
  2. 2021Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformerscited by 159
  3. 2021DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentationcited by 126
  4. 2021Shallow Attention Network for Polyp Segmentationcited by 107
  5. 2023Ambiguous Medical Image Segmentation using Diffusion Modelscited by 92
  6. 2022Video Polyp Segmentation: A Deep Learning Perspectivecited by 81
  7. 2021Automatic Polyp Segmentation via Multi-scale Subtraction Networkcited by 77
  8. 2021Progressively Normalized Self-Attention Network for Video Polyp Segmentationcited by 75
  9. 2021HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPScited by 71
  10. 2021UACANet: Uncertainty Augmented Context Attention for Polyp Segmentationcited by 61
  11. 2021TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentationcited by 60
  12. 2022TAPE: Task-Agnostic Prior Embedding for Image Restorationcited by 54
38 more
  1. 2021MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentationcited by 53
  2. 2024Vivim: a Video Vision Mamba for Medical Video Segmentationcited by 51
  3. 2021NeoUNet: Towards accurate colon polyp segmentation and neoplasm detectioncited by 50
  4. 2023CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objectscited by 43
  5. 2021Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Networkcited by 42
  6. 2021A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentationcited by 41
  7. 2022DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentationcited by 37
  8. 2022FCN-Transformer Feature Fusion for Polyp Segmentationcited by 37
  9. 2021FANet: A Feedback Attention Network for Improved Biomedical Image Segmentationcited by 36
  10. 2023SAM3D: Segment Anything Model in Volumetric Medical Imagescited by 34
  11. 2021Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentationcited by 33
  12. 2022Camouflaged Object Detection via Context-aware Cross-level Fusioncited by 32
  13. 2023Using DUCK-Net for Polyp Image Segmentationcited by 30
  14. 2022ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentationcited by 28
  15. 2023TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testingcited by 26
  16. 2024Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attentioncited by 26
  17. 2021Duplex Contextual Relation Network for Polyp Segmentationcited by 22
  18. 2022DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentationcited by 22
  19. 2024UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Imagescited by 22
  20. 2021Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopycited by 20
  21. 2022TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentationcited by 19
  22. 2021NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopycited by 16
  23. 2023Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videoscited by 16
  24. 2023E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentationcited by 16
  25. 2023Dual Cross-Attention for Medical Image Segmentationcited by 15
  26. 20231M parameters are enough? A lightweight CNN-based model for medical image segmentationcited by 15
  27. 2023M2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentationcited by 13
  28. 2024Frontiers in Intelligent Colonoscopycited by 13
  29. 2023A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trendscited by 12
  30. 2024ProMamba: Prompt-Mamba for polyp segmentationcited by 12
  31. 2024Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentationcited by 12
  32. 2021GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentationcited by 11
  33. 2024BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentationcited by 11
  34. 2022BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotationscited by 10
  35. 2022Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentationcited by 9
  36. 2023ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentationcited by 9
  37. 2024Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detectioncited by 8
  38. 2025PRS-Med: Position Reasoning Segmentation in Medical Imagingcited by 8

50 most cited of 211 All 211 (JSON)