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References from SkinFusionNet: Multi-backbone spatial fusion for robust and explainable melanoma classification. Local targets link to admitted publications; unresolved targets remain external evidence.
A deep learning framework for automated early diagnosis and classification of skin cancer lesions in dermoscopy images
10.1038/s41598-025-15655-9 · 2025 · External reference
Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images
10.1038/s41598-025-09938-4 · 2025 · External reference
A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification
10.1038/s41598-025-90423-3 · 2025 · External reference
Explainability agreement between dermatologists and five visual explanations techniques in deep neural networks for melanoma ai classification
2023 · External reference
Deep ensemble learning for multiclass skin lesion classification
10.3390/bioengineering12090934 · 2025 · 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
A comprehensive review of deep learning and machine learning techniques for early-stage skin cancer detection: challenges and research gaps
2025 · External reference
Assessing the generalizability of deep learning models trained on standardized and nonstandardized images and their performance against teledermatologists: Retrospective comparative study
10.2196/35150 · 2022 · External reference
An explainable hybrid deep learning framework for precise skin lesion segmentation and multi-class classification
2025 · External reference
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation
10.1016/j.nbt.2023.04.006 · 2023 · External reference
10.1109/icscss57650.2023.10169747
10.1109/icscss57650.2023.10169747 · External reference
SmartSkin-XAI: An interpretable deep learning approach for enhanced skin cancer diagnosis in smart healthcare
10.3390/diagnostics15010064 · 2025 · External reference
An efficient multi-level pre-processing algorithm for the enhancement of dermoscopy images in melanoma detection
10.1007/s11517-023-02897-w · 2023 · External reference
Skin cancer classification with deep learning: A systematic review
2022 · External reference
Transformer-aided skin cancer classification using VGG19-based feature encoding
10.1038/s41598-025-24081-w · 2025 · External reference
Development and narrow validation of computer vision approach to facilitate assessment of change in pigmented cutaneous lesions
10.1016/j.xjidi.2023.100181 · 2023 · External reference
A novel vision transformer model for skin cancer classification
10.1007/s11063-023-11204-5 · 2023 · External reference
Skin cancer classification through quantized color features and generative adversarial network
10.4018/ijaci.2021070104 · 2021 · External reference
SCDNet: A deep learning-based framework for the multiclassification of skin cancer using dermoscopy images
10.3390/s22155652 · 2022 · External reference
Classification of melanoma skin cancer based on image data set using different neural networks
10.1038/s41598-024-75143-4 · 2024 · External reference
Melanoma skin cancer detection using ensemble of machine learning models considering deep feature embeddings
10.1016/j.procs.2024.04.284 · 2024 · External reference
Vccinet: a multi-model deep learning approach for melanoma skin cancer detection
2024 · External reference
Melanoma skin cancer identification with explainability utilizing mask guided technique
10.3390/electronics13040680 · 2024 · External reference
Grad-CAM: Visual explanations from deep networks via gradient-based localization
10.1007/s11263-019-01228-7 · 2020 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2013 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2017 · External reference
Hair removal and lesion segmentation of dermoscopic images for classification of skin cancer using deep neural networks
2025 · External reference
Impact of artificial intelligence-based color constancy on dermoscopical assessment of skin lesions: A comparative study
2023 · External reference
Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models
10.1371/journal.pone.0298305 · 2024 · External reference
10.1109/cvpr.2017.243
10.1109/cvpr.2017.243 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2016 · External reference
Melanoma classification using a novel deep convolutional neural network with dermoscopic images
10.3390/s22031134 · 2022 · External reference
Dermoscopic image classification method using an ensemble of fine-tuned convolutional neural networks
10.3390/s22114147 · 2022 · External reference
Melanoma classification from dermatoscopy images using knowledge distillation for highly imbalanced data
10.1016/j.compbiomed.2023.106571 · 2023 · External reference
Deep learning for melanoma detection: A deep learning approach to differentiating malignant melanoma from benign melanocytic nevi
10.3390/cancers17010028 · 2025 · External reference
Embedded artificial intelligence system using deep learning and raspberry pi for the detection and classification of melanoma
10.11591/ijai.v13.i1.pp1104-1111 · 2024 · External reference
Enhancing melanoma diagnosis with advanced deep learning models focusing on vision transformer, swin transformer, and ConvNeXt
10.3390/dermatopathology11030026 · 2024 · External reference
