mlsanityData to 7 Oct 2026

BCN20000: Dermoscopic Lesions in the Wild

arXiv 1908.02288 ↗First posted 6 Aug 2019eess.IV cs.CVcited by 224

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Abstract (arXiv)

This article summarizes the BCN20000 dataset, composed of 19424 dermoscopic images of skin lesions captured from 2010 to 2016 in the facilities of the Hospital Cl'inic in Barcelona. With this dataset, we aim to study the problem of unconstrained classification of dermoscopic images of skin cancer, including lesions found in hard-to-diagnose locations (nails and mucosa), large lesions which do not fit in the aperture of the dermoscopy device, and hypo-pigmented lesions. The BCN20000 will be provided to the participants of the ISIC Challenge 2019, where they will be asked to train algorithms to classify dermoscopic images of skin cancer automatically.

Key facts. Cited by 224 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Aug 2019.

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Citing papers per year: 2021: 6; 2022: 33; 2023: 60; 2024: 41; 2025: 55; 2026: 29.

224 papers.

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  1. 2023Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentationcited by 485
  2. 2022Diffusion Models for Medical Image Analysis: A Comprehensive Surveycited by 269
  3. 2022FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settingscited by 121
  4. 2022What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factorscited by 61
  5. 2021FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysiscited by 60
  6. 2022FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosiscited by 59
  7. 2022Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvementcited by 48
  8. 2024MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imagingcited by 45
  9. 2022VeriFi: Towards Verifiable Federated Unlearningcited by 41
  10. 2022Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imagingcited by 39
  11. 2023FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneitycited by 33
  12. 2025Mechanistic understanding and validation of large AI models with SemanticLenscited by 29
38 more
  1. 2024BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Modelscited by 28
  2. 2023Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessmentcited by 25
  3. 2022Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergencecited by 24
  4. 2021Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classificationcited by 23
  5. 2022A Survey on Deep Learning for Skin Lesion Segmentationcited by 22
  6. 2023Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospectscited by 22
  7. 2023From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Spacecited by 20
  8. 2022ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesionscited by 19
  9. 2022FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classificationcited by 18
  10. 2023FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classificationcited by 18
  11. 2023Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanomacited by 18
  12. 2024Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlookscited by 18
  13. 2022CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesionscited by 17
  14. 2025PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusioncited by 17
  15. 2023Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosiscited by 14
  16. 2024A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysiscited by 14
  17. 2025MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbookscited by 14
  18. 2023Pretrained ViTs Yield Versatile Representations For Medical Imagescited by 13
  19. 2023That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentationcited by 13
  20. 2024Federated Learning with Bilateral Curation for Partially Class-Disjoint Datacited by 13
  21. 2023Bias Propagation in Federated Learningcited by 12
  22. 2021Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanningcited by 11
  23. 2022SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic Imagescited by 11
  24. 2024Few-shot Learner Parameterization by Diffusion Time-stepscited by 11
  25. 2024Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Surveycited by 11
  26. 2022Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scorescited by 10
  27. 2024Achieve Fairness without Demographics for Dermatological Disease Diagnosiscited by 10
  28. 2024DERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 38 Subclassescited by 10
  29. 2022The (de)biasing effect of GAN-based augmentation methods on skin lesion imagescited by 9
  30. 2023Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantificationcited by 9
  31. 2023Preemptively Pruning Clever-Hans Strategies in Deep Neural Networkscited by 9
  32. 2023FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognitioncited by 9
  33. 2024Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosiscited by 9
  34. 2022An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networkscited by 8
  35. 2022Equivariance-aware Architectural Optimization of Neural Networkscited by 8
  36. 2023Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issuescited by 8
  37. 2023Intrinsic Self-Supervision for Data Quality Auditscited by 8
  38. 2023Collaborative Learning via Prediction Consensuscited by 8

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