Papers › UNet++: A Nested U-Net Architecture for Medical Image Segmentation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

18 Jul 2018arXiv:1807.10165archive 2025-07-28

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

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Code

Syntology Ran 5 of 28 code samples harvested from 7 repositories linked to this paper; 23 have no recorded run. Of those that ran: 1 ran · honoured contract; 1 ran · violated contract; 1 ran · our draft was wrong; 2 ran · fixture could not drive it.

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34 repositories listed; official and paper-mentioned ones first.

MrGiovanni/Nested-UNet officialmentioned in papermentioned on GitHubpytorchNOASSERTION report
16xccheng/keras-unet mentioned on GitHub report
4uiiurz1/pytorch-nested-unet mentioned on GitHubpytorchMIT report
CarryHJR/Nested-UNet mentioned on GitHubtfMIT report
MrGiovanni/UNetPlusPlus mentioned on GitHubpytorchNOASSERTION report
TheUser0815/unetpp-pytorch mentioned on GitHubpytorch report
Tu-kun/cultivated_landdivision mentioned on GitHubmindspore report
amirfaraji/LowDoseCTPytorch mentioned on GitHubpytorch report
frgfm/Holocron mentioned on GitHubpytorch report
gallegi/T4E_MICCAI_BrainTumor mentioned on GitHubpytorch report
marccoru/marinedebrisdetector mentioned on GitHubpytorchMIT report
mfp0610/semantic-segmentaion mentioned on GitHubpytorch report
mrgiovanni/dissertation mentioned on GitHubMIT report
qubvel/segmentation_models.pytorch mentioned on GitHubpytorchMIT report
sjosias/Tsetse-Flies mentioned on GitHubpytorch report

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28 samples harvested; 5 ran; 1 honoured the contract we drafted; 23 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

1ran · honoured contract
1ran · violated contract
1ran · our draft was wrong
2ran · fixture could not drive it
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count_params 4uiiurz1/pytorch-nested-unet/utils.py community (archive-listed) ran · honoured contract MIT (permissive) · 616b5e82dd2a38f9 · report
image_enhance 16xccheng/keras-unet/before_data.py community (archive-listed) ran · our draft was wrong MIT (permissive) · e16111786d4ace79 · report
iou ShawFromAttock/FYP-Medical-Image-Segmentation-using-Nested-UNet-Architecture/lovasz_losses.py community (archive-listed) ran · fixture could not drive it fingerprinted MIT (permissive) · d94639b28b2134ff · report
iou_binary ShawFromAttock/FYP-Medical-Image-Segmentation-using-Nested-UNet-Architecture/lovasz_losses.py community (archive-listed) ran · fixture could not drive it fingerprinted MIT (permissive) · 1211530cd527bd0b · report
lovasz_grad ShawFromAttock/FYP-Medical-Image-Segmentation-using-Nested-UNet-Architecture/lovasz_losses.py community (archive-listed) ran · violated contract fingerprinted MIT (permissive) · e85b5d21dc5b8382 · report
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dice_coef CarryHJR/Nested-UNet/model.py community (archive-listed) unverified MIT (permissive) · f2cfef7bbdbe32a7 · report
dice_coef ShawFromAttock/FYP-Medical-Image-Segmentation-using-Nested-UNet-Architecture/metrics.py community (archive-listed) unverified MIT (permissive) · 6715b71d51fb26e1 · report
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ndvi marccoru/marinedebrisdetector/marinedebrisdetector/visualization.py community (archive-listed) unverified MIT (permissive) · 479d21d01d2d5419 · report
ndvi marccoru/marinedebrisdetector/marinedebrisdetector/model/random_forest/engineering_patches.py community (archive-listed) unverified MIT (permissive) · 6d2413162a87adb9 · report
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unetp frgfm/Holocron/holocron/models/segmentation/unetpp.py community (archive-listed) unverified Apache-2.0 (permissive) · 6b0f999f9e74b1c8 · report
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Tasks

Camouflaged Object SegmentationImage SegmentationMedical Image SegmentationSegmentationSemantic SegmentationThermal Image SegmentationVideo Polyp Segmentation

Datasets

Introduced by this paper, per the archive.

2018 Data Science Bowl

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Camouflaged Object Segmentation PCOD_1200 UNet++ S-Measure 0.801 #16 of 16 Archive leaderboard report
Medical Image Segmentation 2018 Data Science Bowl Unet++ Dice 0.8974 #9 of 10 Archive leaderboard report
Medical Image Segmentation 2018 Data Science Bowl Unet++ Precision - #9 of 10 Archive leaderboard report
Medical Image Segmentation 2018 Data Science Bowl Unet++ Recall - #9 of 10 Archive leaderboard report
Medical Image Segmentation 2018 Data Science Bowl Unet++ mIoU 0.9255 #9 of 10 Archive leaderboard report
Medical Image Segmentation CVC-ClinicDB U-Net++ mean Dice 0.7940 #47 of 48 Archive leaderboard report
Medical Image Segmentation Kvasir-SEG U-Net++ Average MAE 0.048 #53 of 58 Archive leaderboard report
Medical Image Segmentation Kvasir-SEG U-Net++ S-Measure 0.862 #53 of 58 Archive leaderboard report
Medical Image Segmentation Kvasir-SEG U-Net++ max E-Measure 0.910 #53 of 58 Archive leaderboard report
Medical Image Segmentation Kvasir-SEG U-Net++ mean Dice 0.8210 #53 of 58 Archive leaderboard report
Semantic Segmentation AI-TOD Unet++(ResNet-50) Dice 70.19 #1 of 2 Archive leaderboard report
Semantic Segmentation Cityscapes val UNet++ (ResNet-101) mIoU 75.5 #72 of 99 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Easy UNet++ Dice 0.559 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Easy UNet++ S measure 0.684 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Easy UNet++ mean E-measure 0.687 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Easy UNet++ mean F-measure 0.553 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Easy UNet++ weighted F-measure 0.491 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Easy (Unseen) UNet++ Sensitivity 0.457 #17 of 18 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Hard UNet++ Dice 0.554 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Hard UNet++ S-Measure 0.685 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Hard UNet++ mean E-measure 0.697 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Hard UNet++ mean F-measure 0.544 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Hard UNet++ weighted F-measure 0.480 #5 of 6 Archive leaderboard report
Video Polyp Segmentation SUN-SEG-Hard (Unseen) UNet++ Sensitivity 0.467 #17 of 18 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Introduced by this paper: UNet++

1x1 ConvolutionAverage PoolingBatch NormalizationBottleneck Residual BlockConvolutionGlobal Average PoolingKaiming InitializationMax PoolingReLUResidual BlockResidual ConnectionUNet++

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