Skin Cancer Segmentation

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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.

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

3 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

11 shown of 11 papers with code (13 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.
• 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…
• 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…
• MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation
  2 Dec 2024 1 repository listed
  Early detection of skin abnormalities plays a crucial role in diagnosing and treating skin cancer.
• MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
  4 Sep 2024 1 repository listed
  Alternatively, some approaches resort to large-scale Transformer models to bridge the global contextual gaps, but at the expense of model size and computational complexity.
• An Interpretable Deep Learning Approach for Skin Cancer Categorization
  17 Dec 2023 1 repository listed
  Our models decision-making process can be clarified because of the implementation of explainable artificial intelligence (XAI).
• Training on Polar Image Transformations Improves Biomedical Image Segmentation
  29 Sep 2021 1 repository listed
  We show that our method produces state-of-the-art results for lesion, liver, and polyp segmentation and performs better than most common neural network architectures for biomedical image segmentation.
• Skin Lesion Segmentation using SegNet with Binary Cross-Entropy
  15 Nov 2019 1 repository listed
  In this paper a simple and computationally efficient approach as per the complexity has been presented for Automatic Skin Lesion Segmentation using a Deep Learning architecture called SegNet including some additional…
• Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
  25 Apr 2019 1 repository listed
  Several DL architectures have been proposed for classification, segmentation, and detection tasks in medical imaging and computational pathology.
• FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation
  8 Feb 2019 1 repository listed
  We propose a novel technique to incorporate attention within convolutional neural networks using feature maps generated by a separate convolutional autoencoder.

Syntology lines on 3 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.