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References from Explainable ensemble transfer learning for skin lesion classification with multi-method explainability validation. Local targets link to admitted publications; unresolved targets remain external evidence.
The importance and challenges of early diagnosis of paraneoplastic skin syndromes in cancer detection—a review
10.3390/cancers17071053 · 2025 · External reference
Predictive modeling and optimization in dermatology: machine learning for skin disease classification
10.1016/j.compbiomed.2025.109946 · 2025 · External reference
Enhancing and advancements in deep learning for melanoma detection: a comprehensive review
10.1016/j.compbiomed.2025.110533 · 2025 · External reference
Deep learning-based image classification for AI-assisted integration of pathology and radiology in medical imaging
10.3389/fmed.2025.1574514 · 2025 · External reference
A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification
10.1038/s41598-024-82241-w · 2025 · External reference
Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review
10.1186/s12885-024-13423-y · 2025 · External reference
Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence
10.1038/s41598-024-83966-4 · 2025 · External reference
Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning
10.1007/s41060-023-00401-z · 2025 · External reference
Deep learning-aided decision support for diagnosis of skin disease across skin tones
10.1038/s41591-023-02728-3 · 2024 · External reference
Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model
10.1038/s41598-025-08954-8 · 2025 · External reference
Enhanced MobileNet for skin cancer image classification with fused spatial channel attention mechanism
10.1038/s41598-024-80087-w · 2024 · External reference
Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark
10.1016/j.ejca.2018.12.016 · 2019 · External reference
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
10.1093/annonc/mdy166 · 2018 · External reference
ABCD rule and pre-trained CNNs for melanoma diagnosis
10.1007/s11042-018-6404-8 · 2019 · External reference
Classification of skin cancer from dermoscopic images using deep neural network architectures
10.1007/s11042-022-13847-3 · 2023 · External reference
Seven-point checklist and skin lesion classification using multitask multimodal neural nets
10.1109/jbhi.2018.2824327 · 2019 · External reference
Skin cancer detection using dermoscopic images with convolutional neural network
10.1038/s41598-025-91446-6 · 2025 · External reference
fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification
10.1038/s41598-025-90423-3 · 2025 · External reference
SNC_Net: skin cancer detection by integrating handcrafted and deep learning-based features using dermoscopy images
10.3390/math12071030 · 2024 · External reference
Modified whale optimization algorithm for multiclass skin cancer classification
10.3390/math13060929 · 2025 · External reference
Detection of monkeypox skin lesions using edge enhancement algorithms integrated with hybrid deep learning
10.1177/20552076261415651 · 2026 · External reference
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
10.1038/sdata.2018.161 · 2018 · External reference
Unresolved reference
External reference
Focal loss for dense object detection
10.1109/iccv.2017.324 · 2017 · External reference
Decoupled weight decay regularization
2019 · External reference
Occlusion-aware 3D morphable models and an illumination prior for face image analysis
10.1007/s11263-018-1064-8 · 2018 · External reference
Grad-cam: visual explanations from deep networks via gradient-based localization
10.1109/iccv.2017.74 · 2017 · External reference
“Why should I trust you?
10.1145/2939672.2939778 · 2016 · External reference
Efficientnet: rethinking model scaling for convolutional neural networks
2019 · External reference
Deep residual learning for image recognition
10.1109/cvpr.2016.90 · 2016 · External reference
Densely connected convolutional networks
10.1109/cvpr.2017.243 · 2017 · External reference
Hair and artifact removal in dermoscopic images using deep learning for enhanced skin cancer detection
10.1038/s41598-026-44545-x · 2026 · External reference
DermaScanAI an explainable hybrid deep learning framework for automated skin lesion classification using dual attention and metadata fusion
10.1038/s41598-026-46011-0 · 2026 · External reference
GC-ViT-E Enhanced global context vision transformers for robust skin cancer classification under severe class imbalance
10.1007/s44443-026-00680-z · 2026 · External reference
An improved transformer network for skin cancer classification
10.1016/j.compbiomed.2022.105939 · 2022 · External reference
