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.

How to make cloud services more reliable?

Over the last decade, cloud computing technologies have become widely adopted in many different sectors, enabling cloud architects and software developers to provide advanced services on a level unlike ever before.

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).

A custom camera module for iToBoS

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.

The importance and pitfalls of melanoma screening

You would think melanoma screening and diagnosis would be straightforward – after all, the skin is your most visible organ and doesn’t need surgery, endoscopes or x-rays to examine.

A brief overview of image anonymization methods

Today, digital medical imaging in the healthcare field has become a fundamental tool for medical diagnosis.

Computer Vision in Dentistry

Computer vision and AI have made their way into dentistry in a variety of fields -radiography, intraoral scans, and facial scans, to name a few.

[FR] L’intelligence artificielle médicale à travers le monde

L’intelligence artificielle permet de répondre aux diverses problématiques démographiques liées à la santé. Elle contribue à améliorer le quotidien de plusieurs centaines de milliers de personnes. L’intelligence artificielle médicale accompagne et améliore de nombreuses vies à travers le monde.