Research map: From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset

Back to the article

Papers in this map

  1. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions · Philipp Tschandl · 2018 · 3508 citations · Cited by this paper
  2. Calibration-informed metrics for instance-level predictive reliability in medical AI · 2026 · Related
  3. Artificial intelligence in healthcare · Kun‐Hsing Yu · 2018 · 2803 citations · Cited by this paper
  4. PDAFormer 3+: A full-scale connected modified transformer with parallel dual attention for 3D medical image segmentation · 2026 · Related
  5. Albumentations: Fast and Flexible Image Augmentations · Alexander Buslaev · 2020 · 2306 citations · Cited by this paper
  6. GFASNet: Gait feature attention-driven deep sequential network for dementia-related gait pattern analysis · 2026 · Related
  7. An Image Inpainting Technique Based on the Fast Marching Method · Alexandru Cristian Telea · 2004 · 1438 citations · Cited by this paper
  8. Green artificial intelligence in health applications · 2026 · Related
  9. Parameter-efficient fine-tuning of large-scale pre-trained language models · Ning Ding · 2023 · 1034 citations · Cited by this paper
  10. Deep Cross-Branch Multi-Modal Fusion Network for early Alzheimer’s diagnosis · 2026 · Related
  11. Dullrazor®: A software approach to hair removal from images · Tim Lee · 1997 · 464 citations · Cited by this paper
  12. Twin cross contrastive learning with multi-modality fusion for drug–target affinity prediction · 2026 · Related
  13. Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning · Ekin Tiu · 2022 · 443 citations · Cited by this paper
  14. Application research of dynamic chaotic sequence generation mechanism in pre-hospital emergency data encryption · 2026 · Related
  15. A generalist vision–language foundation model for diverse biomedical tasks · Kai Zhang · 2024 · 265 citations · Cited by this paper
  16. Improving organizational processes in healthcare through simulation-driven resource allocation: Methodology and real-world case study · 2026 · Related
  17. Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma · Tirtha Chanda · 2024 · 178 citations · Cited by this paper
  18. Artificial Intelligence and Machine Learning solutions-based oral cancer screening and detection: A scoping review · 2026 · Related
  19. Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4 · Juexiao Zhou · 2024 · 171 citations · Cited by this paper
  20. Anatomy consistent segmentation network for joint PET/CT tumor segmentation · 2026 · Related
  21. A robust deep learning framework for multiclass skin cancer classification · Burhanettin Özdemir · 2025 · 142 citations · Cited by this paper
  22. Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images · Iulian Emil Tampu · 2022 · 106 citations · Cited by this paper
  23. Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning · Omneya Attallah · 2024 · 96 citations · Cited by this paper
  24. A multimodal vision foundation model for clinical dermatology · Siyuan Yan · 2025 · 96 citations · Cited by this paper
  25. Clinical ABCDE rule for early melanoma detection · Ana Filipa Duarte · 2021 · 90 citations · Cited by this paper
  26. Melanoma Skin Cancer Identification with Explainability Utilizing Mask Guided Technique · L.B. Gamage · 2024 · 85 citations · Cited by this paper
  27. Skin cancer detection using dermoscopic images with convolutional neural network · Khadija Nawaz · 2025 · 69 citations · Cited by this paper
  28. Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care · Anna Escalé-Besa · 2023 · 65 citations · Cited by this paper
  29. A Low-Cost High-Performance Data Augmentation for Deep Learning-Based Skin Lesion Classification · Shuwei Shen · 2022 · 61 citations · Cited by this paper
  30. A deep learning framework for automated early diagnosis and classification of skin cancer lesions in dermoscopy images · Alaa S. Al‐Waisy · 2025 · 39 citations · Cited by this paper
  31. An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models · J. D. Dorathi Jayaseeli · 2025 · 38 citations · Cited by this paper
  32. Skin cancer identification utilizing deep learning: A survey · Dulani Meedeniya · 2024 · 37 citations · Cited by this paper
  33. Vision-language foundation model for 3D medical imaging · Jing Wu · 2025 · 37 citations · Cited by this paper
  34. Design and validation of a new machine-learning-based diagnostic tool for the differentiation of dermatoscopic skin cancer images · Amin Tajerian · 2023 · 35 citations · Cited by this paper
  35. Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models · Mohammed Alshahrani · 2024 · 32 citations · Cited by this paper
  36. An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification · Ayesha Shaik · 2025 · 30 citations · Cited by this paper
  37. Privacy preservation in diabetic disease prediction using federated learning based on efficient cross stage recurrent model · R. Sarada jayalakshmi · 2025 · 28 citations · Cited by this paper
  38. DERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 40 Subclasses · Abdurrahim Yılmaz · 2024 · 24 citations · Cited by this paper
  39. Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets · Kumar Abhishek · 2025 · 21 citations · Cited by this paper

Source: OpenAlex (CC0)