Latest Research in Cutaneous Melanoma Detection and Management

Top Research Topics in Cutaneous Melanoma Detection and Management

• Cutaneous Melanoma Detection and Management — 16 papers
• Computer Vision and Pattern Recognition — 4 papers
• Skin Protection and Aging — 2 papers
• Authorship Attribution and Profiling — 2 papers
• Animal Disease Management and Epidemiology — 1 papers
• AI in cancer detection — 1 papers
• Image and Video Processing — 1 papers
• Diagnosis and Treatment of Venous Diseases — 1 papers

Highest-Cited Papers

1. Longitudinal visual tracking of nail lesions using a deep learning-based EMR-integrated platform
2. Classification of skin lesions in dermoscopic images via deep transfer learning and quaternion Hahn moment invariant-based feature extraction
3. Diagnostic accuracy of machine-learning–based image analysis for early detection of Kaposi sarcoma in people living with HIV
4. Classification of Foot-and-Mouth and Lumpy Skin Disease in Cattle Using Frozen Pretrained Encoders: A Comparison of Convolutional and Transformer Architectures
5. Preferences for the use of Artificial Intelligence (AI) technologies to help detect skin cancer in primary care settings: a UK-wide discrete choice experiment (DCE)
6. Enhancing Social Impact Through AI: CNN-Based Early Melanoma Detection for Improving Skin Cancer Diagnostics and Healthcare Access
7. A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection
8. Deep learning techniques in predicting BRAF mutation status in cutaneous melanoma from histopathologic images
9. Artificial Intelligence in Indian Dermatology: An IADVL Academy Position Statement and Policy Framework for Safe, Equitable, and Effective Adoption
10. An improved SA-Net framework for multi-class skin disease diagnosis using deep learning and self-attention mechanisms
11. Deep Learning for Biopsy-Free Subtyping of Basal Cell Carcinoma from Dermatoscopic Images
12. Quantitative analysis of artificial intelligence–based detection of subregions from murine ear skin sections with application to quantifying drug-induced epidermal hyperplasia
13. A PSO-Optimized stacked ensemble learning approach for accurate melanoma detection with deep transfer learning and explainability
14. Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap
15. Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief
16. Artificial intelligence in dermatology: a clinician’s guide
17. Artificial intelligence-assisted identification of skin lesions associated with chronic venous insufficiency
18. Survey-based research: When AI and Dermatologists disagree, what do patients choose?
19. Artificial intelligence-assisted analysis of clinical and dermoscopic skin lesion images: A comparative study with dermatologist evaluation
20. Artificial Intelligence Based Skin Analysis Models for Predicting Visual Grades and Device Measured Physiological Values From Facial Images