22/10/2022
The scientific work "Focus stacking in non-contact dermoscopy", supported by iToBoS project, has been published by IOP Publishing Ltd.
22/10/2022
The scientific work "Focus stacking in non-contact dermoscopy", supported by iToBoS project, has been published by IOP Publishing Ltd.
21/11/2022.
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.
21/10/2022.
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.
20/10/2022.
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.
19/10/2022.
The iToBoS project has been presented in the journal ''Politici de Sanatate'' in the section ''Scoala Pacientilor'' on October 18, 2022.
17/10/2022.
This course supported by iToBoS project provides an overview on the concept of AI privacy, which helps in building trust in AI, and explains how open source tools from IBM can help both assess the privacy risk of AI-based solutions, and help them adhere to any relevant privacy requirements.
14/10/2022.
The iToBoS international project includes a novel total body scanner and a Computer Aided Diagnostics (CAD) tool, to integrate various data sources such as medical records, genomics data and imaging data. The first clinical study was created while iToBoS scanner is being manufactured.
13/10/2022.
iToBoS was presented in a teaching talk in Hospital Clínic de Barcelona on October 13, 2022.
11/10/2022.
In this blog we continue analyzing the importance of color accuracy in dermoscopy, considering multispectral dermoscopy, color constancy and consistency, greyscale and color resolution, and the use of smartphones in dermatology.
10/10/2022.
The assessment of dermoscopic images is based on the evaluation of color, shape and deep structures in the skin moles. Then image quality is of paramount importance for the diagnosis accuracy.