mlsanityData to 7 Oct 2026

ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection

arXiv 1703.00523 ↗First posted 1 Mar 2017cs.CVcited by 34

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Abstract (arXiv)

Our system addresses Part 1, Lesion Segmentation and Part 3, Lesion Classification of the ISIC 2017 challenge. Both algorithms make use of deep convolutional networks to achieve the challenge objective.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Mar 2017.

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Citing papers per year: 2021: 5; 2022: 5; 2023: 7; 2024: 8; 2025: 6; 2026: 3.

34 papers.

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  1. 2024VM-UNet: Vision Mamba UNet for Medical Image Segmentationcited by 286
  2. 2022Transformers in Medical Imaging: A Surveycited by 245
  3. 2022MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentationcited by 59
  4. 2023EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationcited by 53
  5. 2024Vision Mamba: A Comprehensive Survey and Taxonomycited by 53
  6. 2023U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentationcited by 23
  7. 2021Parametric Scattering Networkscited by 15
  8. 2021BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net modelscited by 12
  9. 2024SAM-SP: Self-Prompting Makes SAM Great Againcited by 8
  10. 2024HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentationcited by 6
  11. 2021A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Informationcited by 5
  12. 2024MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentationcited by 5
22 more
  1. 2022ConfounderGAN: Protecting Image Data Privacy with Causal Confoundercited by 4
  2. 2023Increasing biases can be more efficient than increasing weightscited by 4
  3. 2025Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Frameworkcited by 4
  4. 2023Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentationcited by 3
  5. 2025Merging Context Clustering with Visual State Space Models for Medical Image Segmentationcited by 3
  6. 2023UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNNcited by 2
  7. 2024MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentationcited by 2
  8. 2024MHS-VM: Multi-Head Scanning in Parallel Subspaces for Vision Mambacited by 2
  9. 2021Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Datasetcited by 1
  10. 2024Self-supervised learning for skin cancer diagnosis with limited training datacited by 1
  11. 2026Samba+: General and Accurate Salient Object Detection via A More Unified Mamba-based Frameworkcited by 1
  12. 2021PL-Net: Progressive Learning Network for Medical Image Segmentationcited by 0
  13. 2022Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Datacited by 0
  14. 2022Leveraging Contextual Data Augmentation for Generalizable Melanoma Detectioncited by 0
  15. 2023GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysiscited by 0
  16. 2023Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Reviewcited by 0
  17. 2025KM-UNet KAN Mamba UNet for medical image segmentationcited by 0
  18. 2025BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Modelscited by 0
  19. 2025Simple is what you need for efficient and accurate medical image segmentationcited by 0
  20. 2025BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentationcited by 0
  21. 2026ActiveFreq: Integrating Active Learning and Frequency Domain Analysis for Interactive Segmentationcited by 0
  22. 2026Learning Superpixel Ensemble and Hierarchy Graphs for Melanoma Detectioncited by 0