Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions-Reference-Cited by-同舟云学术

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Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions

Published:2020-08 Issue: Volume:135 Page:39-46
ISSN:0959-8049
Container-title:European Journal of Cancer
language:en
Short-container-title:European Journal of Cancer

Author:

Sies Katharina,Winkler Julia K.,Fink Christine,Bardehle Felicitas,Toberer Ferdinand,Buhl Timo,Enk Alexander,Blum Andreas,Rosenberger Albert,Haenssle Holger A.

Funder

Skin Cancer Council Germany

Nationale Versorgungskonferenz Hautkrebs

FotoFinder Systems Inc

Heine Optotechnik Inc

Scibase AB

Magnosco Inc

Publisher

Elsevier BV

Subject

Cancer Research,Oncology

Reference28 articles.

1. Trends in incidence and predictions of cutaneous melanoma across Europe up to 2015;Arnold;J Eur Acad Dermatol Venereol,2014

2. A systematic review of worldwide incidence of nonmelanoma skin cancer;Lomas;Br J Dermatol,2012

3. Thickness, cross-sectional areas and depth of invasion in the prognosis of cutaneous melanoma;Breslow;Ann Surg,1970

4. Is early detection of basal cell carcinoma worthwhile? Systematic review based on the WHO criteria for screening;Hoorens;Br J Dermatol,2016

5. Delays in diagnosis and melanoma prognosis (I): the role of patients;Richard;Int J Canc,2000

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1. Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis;Artificial Intelligence in Medicine;2024-09

2. Fusion between an Algorithm Based on the Characterization of Melanocytic Lesions' Asymmetry with an Ensemble of Convolutional Neural Networks for Melanoma Detection;Journal of Investigative Dermatology;2024-07

3. Comparison of the Diagnostic Accuracy of Teledermoscopy, Face-to-Face Examinations and Artificial Intelligence in the Diagnosis of Melanoma;Indian Journal of Dermatology;2024-07

4. Performance of Commercial Dermatoscopic Systems That Incorporate Artificial Intelligence for the Identification of Melanoma in General Practice: A Systematic Review;Cancers;2024-04-08

5. Artificial intelligence and skin cancer;Frontiers in Medicine;2024-03-19

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