Melanoma
D Schadendorf, DE Fisher, C Garbe… - Nature reviews Disease …, 2015 - nature.com
Melanoma is a common cancer in the Western world with an increasing incidence. Sun
exposure is still considered to be the major risk factor for melanoma. The prognosis of …
exposure is still considered to be the major risk factor for melanoma. The prognosis of …
Artificial intelligence in dermatology: challenges and perspectives
Artificial intelligence (AI) based on machine learning and convolutional neuron networks
(CNN) is rapidly becoming a realistic prospect in dermatology. Non-melanoma skin cancer …
(CNN) is rapidly becoming a realistic prospect in dermatology. Non-melanoma skin cancer …
Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma …
JK Winkler, C Fink, F Toberer, A Enk… - JAMA …, 2019 - jamanetwork.com
Importance Deep learning convolutional neural networks (CNNs) have shown a
performance at the level of dermatologists in the diagnosis of melanoma. Accordingly …
performance at the level of dermatologists in the diagnosis of melanoma. Accordingly …
Expert-level diagnosis of nonpigmented skin cancer by combined convolutional neural networks
Importance Convolutional neural networks (CNNs) achieve expert-level accuracy in the
diagnosis of pigmented melanocytic lesions. However, the most common types of skin …
diagnosis of pigmented melanocytic lesions. However, the most common types of skin …
Reflectance confocal microscopy of skin in vivo: From bench to bedside
Following more than two decades of effort, reflectance confocal microscopy (RCM) imaging
of skin was granted codes for reimbursement by the US Centers for Medicare and Medicaid …
of skin was granted codes for reimbursement by the US Centers for Medicare and Medicaid …
Effect of reflectance confocal microscopy for suspect lesions on diagnostic accuracy in melanoma: a randomized clinical trial
Importance Previous systematic reviews and meta-analyses have concluded that given data
paucity, a comparison of reflectance confocal microscopy (RCM) with dermoscopy is …
paucity, a comparison of reflectance confocal microscopy (RCM) with dermoscopy is …
Recognising skin cancer in primary care
OT Jones, CKI Ranmuthu, PN Hall, G Funston… - Advances in …, 2020 - Springer
Skin cancer, including melanoma, basal cell carcinoma and cutaneous squamous cell
carcinoma, has one of the highest global incidences of any form of cancer. In 2016 more …
carcinoma, has one of the highest global incidences of any form of cancer. In 2016 more …
Skin cancer detection by deep learning and sound analysis algorithms: A prospective clinical study of an elementary dermoscope
A Dascalu, EO David - EBioMedicine, 2019 - thelancet.com
Background Skin cancer (SC), especially melanoma, is a growing public health burden.
Experimental studies have indicated a potential diagnostic role for deep learning (DL) …
Experimental studies have indicated a potential diagnostic role for deep learning (DL) …
Reflectance confocal microscopy as a second‐level examination in skin oncology improves diagnostic accuracy and saves unnecessary excisions: a longitudinal …
Background Dermatoscopy increases both the sensitivity and specificity of melanoma
diagnosis. Reflectance confocal microscopy (RCM) is a noninvasive technique that …
diagnosis. Reflectance confocal microscopy (RCM) is a noninvasive technique that …
Impact of in vivo reflectance confocal microscopy on the number needed to treat melanoma in doubtful lesions
I Alarcon, C Carrera, J Palou, L Alos… - British journal of …, 2014 - academic.oup.com
Background The number needed to treat (NNT) ratio is an effective method for measuring
accuracy in melanoma detection. Dermoscopy reduces the number of false positives and …
accuracy in melanoma detection. Dermoscopy reduces the number of false positives and …