Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
SmartSkin-XAI: An Interpretable Deep Learning Approach for Enhanced Skin Cancer Diagnosis in Smart Healthcare
12
Zitationen
5
Autoren
2024
Jahr
Abstract
SmartSkin-XAI addresses critical challenges in melanoma diagnosis by integrating state-of-the-art architecture with XAI methods, providing both accuracy and interpretability. This approach enhances clinical decision-making, fosters trust among healthcare professionals, and represents a significant advancement in incorporating AI-driven diagnostics into medicine, particularly for bedside applications.
Ähnliche Arbeiten
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.437 Zit.
Tumor Angiogenesis: Therapeutic Implications
1971 · 10.108 Zit.
Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation
2011 · 7.668 Zit.
Pembrolizumab versus Ipilimumab in Advanced Melanoma
2015 · 5.803 Zit.
Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma
2017 · 5.354 Zit.