AI lab

Skinive Comparative analysis 2021 – 2022 1. Introduction Skin diseases are the most common cause of all human illnesses which affects almost 900 million people in the world [1]. There are more than 3000 known skin diseases worldwide. Skin cancer is now the most common type of malignant neoplasia in white populations. Melanoma is the […]

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 […]

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 […]

OpenAI NN input: Skin tags are harmless growths on the skin that can vary in number. They are usually the same color as your skin or slightly darker. These tiny pieces of tissue are composed of blood vessels and a type of protein fiber called collagen. They project from the surrounding skin on a thin […]

OpenAI NN input: Many different types of skin rashes exist. They can be concerning, uncomfortable, or downright painful. One of the most common types is heat rash, or miliaria. Heat rash is a skin condition that often affects children and adults in hot, humid weather conditions. You can develop heat rash when your pores become […]

OpenAI NN input: Rhinophyma is a skin disorder characterized by a large, red, bumpy or bulbous nose. It can occur as part of phymatous rosacea. The exact cause of rhinophyma is unknown, but it’s considered a subtype of severe rosacea. This condition is significantly more common in men, especially between the ages of 50 to […]