mlsanityData to 7 Oct 2026

PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

arXiv 2007.00478 ↗First posted 1 Jul 2020eess.IV q-bio.QMcited by 116

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Abstract (arXiv)

Over the past few years, different computer-aided diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive available to design them. To fill this gap, we release a skin lesion benchmark composed of clinical images collected from smartphone devices and a set of patient clinical data containing up to 22 features. The dataset consists of 1,373 patients, 1,641 skin lesions, and 2,298 images for six different diagnostics: three skin diseases and three skin cancers. In total, 58.4% of the skin lesions are biopsy-proven, including 100% of the skin cancers. By releasing this benchmark, we aim to aid future research and the development of new tools to assist clinicians to detect skin cancer.

Key facts. Cited by 116 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 8; 2023: 15; 2024: 29; 2025: 29; 2026: 30.

116 papers.

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  1. 2023Towards Generalist Biomedical AIcited by 286
  2. 2025Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoningcited by 217
  3. 2021Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Datasetcited by 184
  4. 2023Federated Learning for Medical Image Analysis: A Surveycited by 77
  5. 2024MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imagingcited by 45
  6. 2025QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Trainingcited by 38
  7. 2024MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Modelscited by 28
  8. 2025Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatologycited by 28
  9. 2024Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Taskscited by 24
  10. 2022A Survey on Deep Learning for Skin Lesion Segmentationcited by 22
  11. 2022CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesionscited by 17
  12. 2024A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyondcited by 16
38 more
  1. 2024Large Language Model Benchmarks in Medical Taskscited by 16
  2. 2024A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysiscited by 14
  3. 2025MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbookscited by 14
  4. 2025CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Modelscited by 13
  5. 2024COMMA: A Communicative Multimodal Multi-Agent Benchmarkcited by 12
  6. 2025MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessmentcited by 12
  7. 2022Artifact-Based Domain Generalization of Skin Lesion Modelscited by 11
  8. 2021An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysiscited by 10
  9. 2024DERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 38 Subclassescited by 10
  10. 2024From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learningcited by 10
  11. 2022Towards the Practical Utility of Federated Learning in the Medical Domaincited by 9
  12. 2023Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantificationcited by 9
  13. 2023EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognitioncited by 9
  14. 2023Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptationcited by 9
  15. 2025Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learningcited by 9
  16. 2026MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learningcited by 9
  17. 2023Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issuescited by 8
  18. 2023Intrinsic Self-Supervision for Data Quality Auditscited by 8
  19. 2024Prompt-driven Latent Domain Generalization for Medical Image Classificationcited by 8
  20. 2025In the Picture: Medical Imaging Datasets, Artifacts, and their Living Reviewcited by 8
  21. 2023Towards unraveling calibration biases in medical image analysiscited by 7
  22. 2023The Performance of Transferability Metrics does not Translate to Medical Taskscited by 6
  23. 2023Towards Reliable Dermatology Evaluation Benchmarkscited by 6
  24. 2024BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuningcited by 6
  25. 2021A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Informationcited by 5
  26. 2024Copycats: the many lives of a publicly available medical imaging datasetcited by 5
  27. 2024SkinCaRe: A Multimodal Dermatology Dataset Annotated with Medical Caption and Chain-of-Thought Reasoningcited by 5
  28. 2025Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attentioncited by 5
  29. 2022Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attentioncited by 4
  30. 2022Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imagingcited by 4
  31. 2022Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasetscited by 4
  32. 2024Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAMcited by 4
  33. 2025MedMambaLite: Hardware-Aware Mamba for Medical Image Classificationcited by 4
  34. 2026Unsupervised Causal Prototypical Networks for De-biased Interpretable Dermoscopy Diagnosiscited by 4
  35. 2021ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classificationcited by 3
  36. 2023Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesionscited by 3
  37. 2024Automated Ensemble Multimodal Machine Learning for Healthcarecited by 3
  38. 2025Diffusion models applied to skin and oral cancer classificationcited by 3

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