How skin cancer AI handle collision tumors and borderline cases

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.

Reviewing state of the art in computer aided skin lesion diagnosis using clinical images

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.

Product Validation

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)”

Product Verification

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.

Verification and validation of medical devices

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

More on IBM presentation at RSAC 2022

The RSA conference is one of the top industry security conferences in the world, offering four days of nonstop cutting-edge sessions, inspirational keynotes, and groundbreaking innovation.

Computer Vision in Dermatology

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.

Risk factors for skin cancer

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

Standardization in dermatology

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.

The need of standardization in dermatology

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