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.

iToBoS project presented in Ansprechbar der Leibniz Universität Hannover


On November 5, 2022, LUH opened its doors to citizens from 12 to 6 pm at the university as an open place of science. Researchers had access to a wide range of topics.

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.

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.

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.