A pretrained neural network shows similar diagnostic accuracy to medical students in categorizing dermatoscopic images after comparable training conditions-Reference-Cited by-同舟云学术

A pretrained neural network shows similar diagnostic accuracy to medical students in categorizing dermatoscopic images after comparable training conditions

Published:2017-07-19 Issue:3 Volume:177 Page:867-869
ISSN:0007-0963
Container-title:British Journal of Dermatology
language:en
Short-container-title:Br J Dermatol

Author:

Tschandl P.¹^ORCID,Kittler H.¹,Argenziano G.²

Affiliation:

1. Department of Dermatology Medical University of Vienna Währinger Gürtel 18‐20 1090 Vienna Austria

2. Dermatology Unit University of Campania Naples Italy

Publisher

Wiley

Subject

Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bjd.15695

Reference5 articles.

1. Convolutional networks and applications in vision

2. Dermatologist-level classification of skin cancer with deep neural networks

3. Teaching dermatoscopy of pigmented skin tumours to novices: comparison of analytic vs. heuristic approach

4. SzegedyC VanhouckeV IoffeSet al.Rethinking the inception architecture for computer vision. Available at:https://arxiv.org/pdf/1512.00567.pdf(last accessed 16 June 2017).

5. pROC: an open-source package for R and S+ to analyze and compare ROC curves

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