Diagnosis melanoma with artificial intelligence systems: A meta‐analysis study and systematic review
This meta‐analysis evaluates the diagnostic accuracy of AI‐based skin cancer models. The pooled AUC was 0.96, with sensitivity and specificity of 0.89 and 0.92, respectively. Hybrid models demonstrated superior performance (AUC: 0.98) compared to single DL (AUC:0.95) and ML (AUC:0.95) models.
Gözde Ertürk Zararsız +10 more
wiley +1 more source
Computer-Based Classification of Dermoscopy Images of Melanocytic Lesions on Acral Volar Skin [PDF]
Hitoshi Iyatomi +9 more
openalex +1 more source
Non‐invasive characterization of melanoma depth at single‐cell resolution
Non‐invasive determination of Breslow depth would be beneficial for the clinical management of melanoma. We demonstrate that RSOM can achieve non‐invasive imaging of single melanocytes up to several millimetres in tissue. A pilot clinical study showed a high degree of correlation between RSOM and the standard for Breslow depth determination.
Juan Aguirre +11 more
wiley +1 more source
Dermoscopy of eccrine poroma with calcification [PDF]
Yohei Nishikawa +7 more
openalex +1 more source
Dermoscopy of pigmented lesions on mucocutaneous junction and mucous membrane [PDF]
Jung‐Yaw Lin +3 more
openalex +1 more source
Reliability of dermoscopy in the assessment of patients with Raynaud's phenomenon [PDF]
Tonia Moore +4 more
openalex +1 more source
Dermoscopy of chromoblastomycosis
Payal Chauhan +2 more
openaire +4 more sources
Usefulness of dermoscopy in the diagnosis of early lesions of malignant melanoma.
Shinji Oguchi, Toshiaki Saida
openalex +2 more sources
Diagnostic Pitfall: Pigmented Lesion of the Nipple – Correlation between Dermoscopy, Reflectance Confocal Microscopy and Histopathology [PDF]
Isabel Kolm +6 more
openalex +1 more source

