Lesion Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 11 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

17 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 269 papers with code (640 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• U-Net: Convolutional Networks for Biomedical Image Segmentation
  18 May 2015 487 repositories listed Syntology ran 510 of 757 samples · 247 unverified · 426 pointer-only (licence)
  There is large consent that successful training of deep networks requires many thousand annotated training samples.
• Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
  7 Feb 2018 78 repositories listed Syntology ran 43 of 72 samples · 29 unverified · 40 pointer-only (licence)
  The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling operations at multiple rates and multiple effective fields-of-view, while the latter…
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  2 Nov 2015 74 repositories listed Syntology ran 9 of 44 samples · 35 unverified · 10 pointer-only (licence)
  We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.
• Pyramid Scene Parsing Network
  4 Dec 2016 67 repositories listed Syntology ran 7 of 29 samples · 22 unverified · 5 pointer-only (licence)
  Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
  9 Feb 2019 18 repositories listed Syntology ran 3 of 17 samples · 14 unverified
  This work summarizes the results of the largest skin image analysis challenge in the world, hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has organized the world's largest…
• Road Extraction by Deep Residual U-Net
  29 Nov 2017 13 repositories listed
  Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis.
• Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
  20 Feb 2018 12 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 5 pointer-only (licence)
  In this paper, we propose a Recurrent Convolutional Neural Network (RCNN) based on U-Net as well as a Recurrent Residual Convolutional Neural Network (RRCNN) based on U-Net models, which are named RU-Net and R2U-Net…
• Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
  13 Oct 2017 12 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  This article describes the design, implementation, and results of the latest installment of the dermoscopic image analysis benchmark challenge.
• A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
  18 Oct 2018 6 repositories listed
  We propose a generalized focal loss function based on the Tversky index to address the issue of data imbalance in medical image segmentation.
• Boundary loss for highly unbalanced segmentation
  17 Dec 2018 5 repositories listed Syntology ran 2 of 26 samples · 24 unverified
  We propose a boundary loss, which takes the form of a distance metric on the space of contours, not regions.
• U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
  29 Nov 2023 4 repositories listed
  We evaluate our method on several public medical image segmentation datasets for skin lesion segmentation and polyp segmentation, and the experimental results demonstrate the segmentation accuracy of our new method over…
• Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation
  26 Oct 2020 4 repositories listed
  The segmentation of skin lesions is a crucial task in clinical decision support systems for the computer aided diagnosis of skin lesions.
• DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
  8 Jun 2020 4 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
  The encouraging results, produced on various medical image segmentation datasets, show that DoubleU-Net can be used as a strong baseline for both medical image segmentation and cross-dataset evaluation testing to…
• Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
  31 Aug 2019 4 repositories listed
  To strengthen feature propagation and encourage feature reuse, we use densely connected convolutions in the last convolutional layer of the encoding path.
• RECOD Titans at ISIC Challenge 2017
  14 Mar 2017 4 repositories listed
  This extended abstract describes the participation of RECOD Titans in parts 1 and 3 of the ISIC Challenge 2017 "Skin Lesion Analysis Towards Melanoma Detection" (ISBI 2017).
• Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
  20 Feb 2017 4 repositories listed
  In the first step, we train a FCN to segment the liver as ROI input for a second FCN.
• OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
  6 Feb 2023 3 repositories listed
  Non-mydriatic retinal color fundus photography (CFP) is widely available due to the advantage of not requiring pupillary dilation, however, is prone to poor quality due to operators, systemic imperfections, or…
• Diffusion Models for Implicit Image Segmentation Ensembles
  6 Dec 2021 3 repositories listed Syntology ran 13 of 19 samples · 6 unverified
  By modifying the training and sampling scheme, we show that diffusion models can perform lesion segmentation of medical images.
• CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
  22 Sep 2020 3 repositories listed
  Also, we propose a scale attention module implicitly emphasizing the most salient feature maps among multiple scales so that the CNN is adaptive to the size of an object.
• Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
  29 Jul 2020 3 repositories listed
  There is an increasing number of studies that propose to use deep learning to provide fast and accurate quantification of COVID-19 using chest CT scans.
• D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
  14 Aug 2019 3 repositories listed
  This function adds a weighted focal coefficient and combines two traditional loss functions.
• One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
  31 May 2018 3 repositories listed
  In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images, due to their superior performance…
• Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
  7 Oct 2016 3 repositories listed
  Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support systems.
• Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
  20 Sep 2024 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy.
• AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images
  16 Sep 2024 2 repositories listed
  As a result, creating an effective segmentation model for routine PET/CT image analysis is challenging.
• Synthetic Data for Robust Stroke Segmentation
  2 Apr 2024 2 repositories listed
  Current deep learning-based approaches to lesion segmentation in neuroimaging often depend on high-resolution images and extensive annotated data, limiting clinical applicability.
• A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
  28 Mar 2024 2 repositories listed
  We address this gap by presenting a novel ensemble algorithm derived from the 2022 Ischemic Stroke Lesion Segmentation (ISLES) challenge.
• Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation
  15 Nov 2023 2 repositories listed
  The results from a multi-centric MRI dataset of 444 patients demonstrate that our proposed measures more effectively capture model errors at the lesion and patient scales compared to measures that average voxel-scale…
• Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
  25 Aug 2023 2 repositories listed
  Furthermore, to intensify the importance of the boundary information, we impose an additional attention map by creating a Gaussian pyramid on top of the HF components.
• MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
  5 Jul 2023 2 repositories listed
  Naivly combining datasets from different domains can result in negative knowledge transfer (NKT), i.

Syntology lines on 11 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.