Computer Vision in Dermatology

7/11/2022.

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?

6/11/2022.

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.

iToBoS project presented in Ansprechbar der Leibniz Universität Hannover

05/11/2022.

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

4/11/2022.

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

Standardization in dermatology

3/11/2022.

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

2/11/2022.

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

A custom camera module for iToBoS

31/10/2022.

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.

iToBoS project presented in the World Congress on Cancers of the Skin (WCCS)

29/10/2022.

iToBoS was presented in several talks at the 18th World Congress on Cancers of the Skin (WCCS), held at Buenos Aires, Agentina.

A brief overview of image anonymization methods

25/10/2022.

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

iToBoS project at AI for Good – Discovery – Trustworthy AI

24/10/2022.

iToBoS project was presented at AI for Good, a series of talks that are driving forward technological solutions that measure and advance the UN’s Sustainable Development Goals by bringing together a broad network of interdisciplinary researchers, nonprofits, governments, and corporate actors to identify, prototype and scale solutions that engender positive change.