mlsanityData to 7 Oct 2026

Skin Lesion Synthesis with Generative Adversarial Networks

arXiv 1902.03253 ↗First posted 8 Feb 2019cs.CV cs.LGcited by 22

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Abstract (arXiv)

Skin cancer is by far the most common type of cancer. Early detection is the key to increase the chances for successful treatment significantly. Currently, Deep Neural Networks are the state-of-the-art results on automated skin cancer classification. To push the results further, we need to address the lack of annotated data, which is expensive and require much effort from specialists. To bypass this problem, we propose using Generative Adversarial Networks for generating realistic synthetic skin lesion images. To the best of our knowledge, our results are the first to show visually-appealing synthetic images that comprise clinically-meaningful information.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Feb 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 6; 2023: 5; 2024: 1; 2025: 2; 2026: 2.

22 papers.

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  1. 2021GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Reviewcited by 25
  2. 2022A Survey on Deep Learning for Skin Lesion Segmentationcited by 22
  3. 2021Soft-Attention Improves Skin Cancer Classification Performancecited by 15
  4. 2021Data synthesis and adversarial networks: A review and meta-analysis in cancer imagingcited by 15
  5. 2024Private Synthetic Text Generation with Diffusion Modelscited by 10
  6. 2023LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentationcited by 7
  7. 2022Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasetscited by 6
  8. 2022Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Imagescited by 5
  9. 2023Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathologycited by 5
  10. 2023DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Imagescited by 4
  11. 2022Content-Aware Differential Privacy with Conditional Invertible Neural Networkscited by 3
  12. 2022Knowledge Distillation approach towards Melanoma Detectioncited by 3
10 more
  1. 2023Generative Adversarial Networks based Skin Lesion Segmentationcited by 3
  2. 2025eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseasescited by 3
  3. 2021Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scanscited by 2
  4. 2021Generation of microbial colonies dataset with deep learning style transfercited by 2
  5. 2023High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Datacited by 1
  6. 2021Segmentation of skin lesions and their attributes using Generative Adversarial Networkscited by 0
  7. 2022GAN-based generative modelling for dermatological applications -- comparative studycited by 0
  8. 2025Towards Facilitated Fairness Assessment of AI-based Skin Lesion Classifiers Through GenAI-based Image Synthesiscited by 0
  9. 2026Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networkscited by 0
  10. 2026CAMEO: A Class-Activation-Mapped Equitable Overlay Framework for Fair and Robust Deep Learning-based Skin Condition Diagnosiscited by 0