Skin Lesion Classification

Overview

Skin lesion classification uses dermoscopic or clinical images, sometimes with patient metadata, to identify lesion types and estimate whether a lesion is malignant. Common approaches include transfer-learned CNNs and vision transformers, ensembles, hierarchical or graph-based models, and fusion of image features with clinical information. Researchers also explore synthetic-image augmentation, domain adaptation, fairness-aware training, and uncertainty estimates to address scarce or imbalanced data and make predictions more interpretable. High scores on benchmarks such as HAM10000 and ISIC do not ensure reliable clinical performance: external validation, calibration, image quality, and shifts in disease mix or skin tone remain important challenges.

Latest papers

CardsList

58 papers6 papers in the last four weeks, down 40% on the four weeks before. 0.0% of all new papers.

  1. Contrastive Adapter Training and Consensus Knowledge Distillation for Multi-Source-Free Domain Adaptation in Skin Cancer Diagnosis

    Nov 2, 2026Ali Abedi, Q. M. Jonathan Wu, Ning Zhang +1Source-Free Domain AdaptationMulti-Source Domain Adaptation

  2. Evaluating Synthetic Skin Lesion Images for Classifier Training: A Safety-Aware Algorithm

    Nov 2, 2026Amindu Kumarasinghe, Vinh Bui, Reza GhanbarzadehSynthetic Data EvaluationSynthetic Data Selection

  3. Testing concept-level audits of melanoma classifiers with diffusion counterfactuals and matched positive controls

    Nov 1, 2026Md Shohanoor Rahman, Md Hasibul Islam, Md Kishor Morol +2Explainable Medical Image AnalysisExplanation Evaluation

  4. A Lightweight Attention-Based CNN with Saliency-Map Interpretability for Skin Cancer Detection

    Oct 27, 2026Sanjana Islam Kasfia, Md. Ismiel Hossen Abir, AKM Bahalul Haque +1Skin Lesion ClassificationLightweight CNNs

  5. GAMF-Net: Grouped Availability-Aware Multimodal Fusion for Smartphone Skin Lesion Classification

    Oct 20, 2026Yue Zhuo, Jingjia Yan, Fangyu Liu +4Skin Lesion ClassificationMultimodal Classification

  6. Less Is More: A Leakage-Controlled Study of Dermoscopic Preprocessing for Joint Skin Lesion Classification and Segmentation with YOLO26

    Oct 6, 2026Truong Viet Vu, Nguyen Chi Hai, Nguyen Phuc Nguyen +3Skin Lesion ClassificationMedical Image Segmentation

  7. Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

    Oct 6, 2026Linda Wermelinger, Simone Lionetti, Fabian Gröger +6Skin Lesion ClassificationExplainable Medical Image Analysis

  8. On Impact of Loss Function on the Performance of Neural Networks in Melanoma Diagnosis

    Oct 5, 2026Morgan May, Pierpaolo Dondio, Simon CatonClass-Imbalanced LearningSkin Lesion Classification

  9. Masked Privileged-Information Distillation for Multimodal Skin Lesion Classification Under Missing Clinical Metadata

    Oct 2, 2026Anirban Barua, Md Mahir Abrar Khan, Ayman Iktidar +1Skin Lesion ClassificationMultimodal Classification

  10. Bridging Research and Practice: A Systematic Evaluation of Generalist and Dermatology-Specific Models in Clinical Skin Lesion Classification

    Oct 2, 2026Emanoel dos Santos, Kelvin Cunha, Rodrigo Mota +8Skin Lesion ClassificationDermatology

  11. CAMEO: A Class-Activation-Mapped Equitable Overlay Framework for Fair and Robust Deep Learning-based Skin Condition Diagnosis

    Sep 28, 2026Youssef Attia, Debasmita MukherjeeSkin Lesion ClassificationAlgorithmic Fairness

  12. CG-HAF: An Interpretable Global-Local Lesion-Burden Fusion Framework for Ordinal Acne Severity Grading in Agentic Skincare Support

    Sep 25, 2026Muhammad Muhtasim Shahriar, Md. Naimur Asif Borno, Saad Aloteibi +1Medical Image AnalysisExplainable Medical Image Analysis

  13. Benchmarking Off-the-Shelf Multimodal AI Models Against Dermatologists on Patient-Captured Skin Images

    Sep 21, 2026Rian Dolphin, Laura KnowlesSkin Lesion ClassificationMedical VLMs

  14. A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection

    Sep 10, 2026Wagner Moreno Schmitz, Marco Antonio de Castro Barbosa, Thiago Magalhães Amaral +2Skin Lesion ClassificationMedical Image Classification

  15. Adaptive Conformal Redistribution for Inter-class Transitional Uncertainty in Medical Image Classification

    Sep 10, 2026Saibal Ghosh, Samarup Bhattacharya, Sanjoy Kumar Saha +2Medical Image ClassificationConformal Prediction

  16. Deep Learning for Biopsy-Free Subtyping of Basal Cell Carcinoma from Dermatoscopic Images

    Sep 7, 2026Alexandros Papadopoulos, Chrysa Episkopou, Ioannis Sarafis +2Skin Lesion ClassificationCancer Subtype Classification

  17. An Attention-Guided Global and Local Fusion Framework for Lesion-Focused Image Classification

    Sep 4, 2026Mst Shafia Tasnima, Md Samaun Elaheea, Tanjim Taharat Aurpab +1Image ClassificationFeature Fusion

  18. Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap

    Sep 2, 2026Nirajan Kunwor, Sanjaya Poudel, Quoc-Huy Trinh +2Domain GeneralizationSkin Lesion Classification

  19. Evidence-Driven Differential Diagnosis of Malignant Melanoma

    Aug 28, 2026Naren Akash, Anirudh Kaushik, Jayanthi SivaswamySkin Lesion ClassificationDermatology

  20. DNA Methylation Profiling in Melanoma: From Lesion Classification to Therapeutic Stratification

    Aug 19, 2026Jana T. Winterstein, Lukas Heinlein, Günter Raddatz +34Skin Lesion ClassificationCancer Genomics

  21. MIFR: A Modality-Invariant and Fair Representation Framework for Skin Disease Classification

    Aug 19, 2026Asonyu Senge Njih, Yvan Guifo Fodjo, Vianney Kengne Tchendji +2Fairness in Medical Image ClassificationSkin Lesion Classification

  22. Picking the Right Image to Classify: Reliable-Input Selection in Teledermatology

    Aug 17, 2026Fabian Gröger, Marco Weishaupt, Philippe Gottfrois +6Data SelectionHealthcare

  23. Uncertainty Identifies Difficult Samples Across Methods: A Multi-Task Study on a Heterogeneous Skin Lesion Dataset

    Aug 14, 2026Leon Koole, Jiapan Guo, Matias Valdenegro-ToroUncertainty QuantificationUncertainty Calibration

  24. Uncertainty-Aware and Explainable Ensemble Deep Learning Framework for Multi-Class Skin Lesion Classification

    Aug 11, 2026Rofiqul Islam, Lilatul FerdouseSkin Lesion ClassificationDeep Ensembles

  25. Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis

    Aug 6, 2026Rafał Buler, Jakub Buler, Maciej Bobowicz +1Skin Lesion ClassificationGraph Representation Learning

  26. Multimodal Skin Lesion Classification with Swin Transformer and Clinical Metadata Fusion

    Aug 4, 2026Nethmi Pathirana, Isuru Munasinghe, Dileeka AlwisSkin Lesion ClassificationMultimodal Classification

  27. Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification

    Jul 29, 2026Alexander Kozachok, Ilya Latyshev, Evgeny Karpulevich +3Skin Lesion ClassificationData Augmentation

  28. Privileged Lesion-Context Relational Distillation for Mask-Free Skin Lesion Classification

    Jul 21, 2026Abu Mukaddim Rahi, Md Mithun Hossain, Md Zulficar Hasan Joy +2Skin Lesion ClassificationMedical Image Classification