Mobile app helps track moles

Mobile app helps track moles

A new free app developed at the University of Michigan Health System (Ann Arbor, MI, USA) allows users to photograph suspicious moles or other skin lesions which they can then share with a dermatologist to obtain a medical diagnosis.

More than two million Americans are diagnosed with skin cancer each year, and some 50,000 will be diagnosed with melanoma, the most serious kind. Regular skin checks can help people discover melanoma in its earliest stages.

The app -- UMSkinCheck -- allows users to complete a full skin cancer exam and photo survey, track and create a history of moles and lesions and receive regular reminders to perform follow up self exams and check on lesions that are being tracked.

Developed by a team led by Dr. Michael Sabel, associate professor of surgery at the University of Michigan Medical School, the app helps users to identify suspicious moles or lesions that may be cancer or growths that may develop into skin cancer (precancers).

The app is designed for iPhone and iPad and is available to download on iTunes here.

Editor's note: Researchers at the University of Edinburgh (Edinburgh, UK) have also developed diagnostic software that can help health care workers correctly identify different types of skin lesions, leading to more effective diagnosis of skin cancer. You can read more about their research here.

-- Dave Wilson, Senior Editor, Vision Systems Design

RELATED COMPANIES
There is no current content available.
RELATED PRODUCTS
There is no current content available.

SPONSORED CONTENT

Webcasts

High-speed imaging and the future of vision systems

What technologies are advancing high-speed imaging? What markets and applications are affected, and what can potential purchasers expect? In this live, interview-style webcast, Vision System Design...

Learn and leverage machine vision software

Seasoned machine vision software specialist Tom Brennan will provide an overview of machine vision software, and explore algorithms as they apply to color space conversion, frequency domain transfo...
April 1, 2015

Off-the-shelf machine vision for non-industrial applications

While machine vision has been deployed in factory automation applications for over 30 years, the technology can benefit plenty of non-industrial applications such as scientific and medical imaging,...
March 18, 2015

Archives

Click here to view archived Vision Systems Design articles