Data acquisition and transmission to the main computer in the first scanner prototype

The process of data acquisition involves capturing dermoscopic images using the High-definition Imaging Module (HDIM).

World Melanoma Day: A call for skin cancer awareness and prevention

Every May 23, society comes together on World Melanoma Day, a date that seeks to raise awareness and promote concrete actions to combat this disease.

Final prototype: the vision system

The use of 8 dermoscopic modules allowed to explore the scanning of the full-patient body, acquired with the highest resolution requiring a short acquisition time.

iToBoS presented in the Scientific Cultural Calendar of the Spanish embassy in Switzerland and Liechtenstein

iToBoS is presented as a project for the creation of a diagnostic platform to help with the early detection of melanoma.

Retrieval Augmented Generation (RAG) systems

iToBoS representatives attended the event “Retrieval Augmented Generation (RAG) systems”, organized by Centre of Innovation for Data tech and Artificial Intelligence (CIDAI) online on May 8th, 2024.

Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark

Recent 3D registration methods are mostly learning-based that either find correspondences in feature space and match them, or directly estimate the registration transformation from the given point cloud features.

First scanner prototype: the vision system

Initially, the system was engineered so that the first step is to map the patient in 3D from a collection of images acquired by the two cameras of the first group (Lucid Helios2+ and Lucid Triton).

From the first scanner prototype to the final prototype

The first prototype of iToBoS, conceived at the project’s initial stages was an innovative design that incorporated several arches.

Ethical AI – Perspectives from Patient Advocates: Ethics and Emerging Technology

This blog is the next in a series of 5, to discuss the results of the Ethical AI workshop at MPNE Consensus Data 2024.

Challenges and limitations of AI in pathology

Artificial intelligence in medical applications is always faced with a series of difficulties. The challenges range from the quality of input data and model performance to ethical problems.