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.

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


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


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


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.

Focus stacking in non-contact dermoscopy


The scientific work "Focus stacking in non-contact dermoscopy", supported by iToBoS project, has been published by IOP Publishing Ltd.

iToBoS project at 15th Optatec


iToBoS project was presented in the 15th Optatec, International trade fair for optical technologies, components and systems. The event took place in Frankfurt, Germany, from 18 to 20 of October 2022.

iToBoS project at BIFOLD Graduate School Welcome Days


The BIFOLD Graduate School provides a highly research-focused program to educate students for the rising worldwide demand for specialists with expertise in Data Management and Machine Learning.

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.