Skin cancer is the most common cancer in the world. It is is deadly at late stage but can be cured with high survival rate if being detected early.

In the past decades, there have been developments in computational methods for helping dermatologists diagnose skin cancer early. Computerized analysis of pigmented skin lesions (PSLs) is a growing field of research.

Validation of medical devices is concerned with the end product and – according to a FDA’s definition - it intends “to check that the device / system and its specifications conform with the user needs and the intended use(s)”

As already mentioned, medical device verification is often done at sub-system / module level and often in parallel with the design and development phases. It requires the availability of the specifications and of testing procedures / methods.

Even if the two terms are often used interchangeably, they refer to two different types of analysis.

Dermatology is a medical field that heavily relies on visual data. In fact, skin cancer is one of the most common cancer types, with approximately 9.500 people in the U.S.diagnosed with it every day.

The incidence of melanoma is increasing at a greater rate than the other types of cancer mostly in white skin populations.

In this blog we continue analysing standardization in dermatology, presenting the International Skin Imaging Collaboration (ISIC and the Supplement of the DICOM Standard related to Dermatology.

There is a lack of standards in dermatology across the entire spectrum of imaging (acquisition, storage, and visualization).

As explained in the article “Liquid lenses for fast focusing in machine vision”, the best way to combine the liquid lenses with other optical modules is to design them inside.