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Automatic SCOring of Atopic Dermatitis using Deep Learning

In recent years, artificial intelligence (AI) has achieved human-expert-like performance in a wide variety of tasks such as skin cancer classification, detection, and lesion segmentation.

In this study, we introduce the Automatic SCORAD (ASCORAD), an automatic version of the SCORAD that provides a quick, accurate, and fully automated scoring method.

ASCORAD shows promise as an automatic scoring system that might enable a more objective and quicker evaluation. Indeed, a deep learning algorithm could simplify the assessment of AD, a very common skin disease that affects 15‒20% of children (Asher et al., 2006) and 1‒3% of adults worldwide.

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Become part of a worldwide growth-hacking revolution

This innovative approach to viral marketing is revolutionizing how startups reach out to their potential clients and how companies launch products and run marketing strategies.

Think like an entrepreneur. Write like a journalist. Launch like a boss.

The main idea behind News-Worth Dynamics is that all stories need to have something to make them newsworthy. Not all information is newsworthy. Stories need to supply certain elements of interest to qualify as news. These elements of interest form the Seven Traits of News-Worth.

With that in mind, we created a handy tool that we call the News-Worth Canvas: a visual template for describing, analyzing, and creating viral marketing.

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