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Skinive Accuracy Report 2021 at Social Science Research Network

20th December 2021

Skinive Accuracy Report 2021 at Social Science Research Network

Skinive’s accuracy report “Dynamics of the neural network accuracy in the context of modernization of the algorithms of skin pathology recognition” is officially published at Social Science Research Network. www.ssrn.com Skinive neural network uses a machine-learning algorithm to calculate the risk rating of skin pathologies. For this study, we used Skinive’s 2020 and 2021 versions […]

20.12.21

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Analysis of Skinive algorithm’s  accuracy for risk assessment of skin conditions, based on machine learning algorithms.

22nd June 2020

Analysis of Skinive algorithm’s accuracy for risk assessment of skin conditions, based on machine learning algorithms.

Note: This is not the current version of the report! Skinive improved the accuracy of the neural network in 2021 and published the data. The latest version of the report is available at the link – https://skinive.com/skinive-accuracy2021/ Table of contents – ABSTRACT1. INTRODUCTION2. SKINIVE ALGORITHM TO ANALYZE THE SKIN LESION IMAGES2.1 Nosologies & Classes2.2 Neural network […]

22.06.20

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Skinive App <span>For home use to make skin health self-exams</span>

Skinive App For home use to make skin health self-exams

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Skinive MD App <span>For medical professionals to improve patient care</span>

Skinive MD App For medical professionals to improve patient care

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This project has received funding from the European Union’s Horizon 2020 programme under grant agreement No 951847

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