Explaining the Predictions of Unsupervised Learning Models

27/04/2022.

The scientific work "Explaining the Predictions of Unsupervised Learning Models", developed with the support of the iToBoS project, has been published.

An introduction to image denoising

26/04/2022.

Image acquisition comes with unavoidable and unwanted noise acquisition due to camera hardware limitations and illumination challenges, making image denoising a fundamental task in image processing.

Gender equity in artificial intelligence applications in dermatology

25/04/2022.

In the last few years, there have been remarkable developments in computational methods for helping dermatologists to diagnose skin cancer in early stages.

iToBoS project presented at 1st Spring Biophotonics Conference in Porto

24/04/2022.

The iToBoS project was presented at the 1st Spring Biophotonics Conference in Porto (OPORTO22), through the conference titled “Multimodal optical systems for the investigation of skin diseases”.

Efficient AI Predictions through Explainability-driven Neural Network Quantization

21/04/2022.

Solving increasingly complex real-world problems, continuously contributes to the success of deep neural networks (DNNs). DNNs have long been established in numerous machine learning tasks and for this have been significantly improved in the past decade.

Explainable AI Methods - A Brief Overview

20/04/2022.

The scientific work "Explainable AI Methods - A Brief Overview", with the support of iToBoS project, has been published.

ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs

19/04/2022.

The scientific work "ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs", with the support of iToBoS project, has been published.

Overview of machine learning based approaches for non-contact dermoscopy

15/04/2022.

In iToBoS, machine learning/ artificial intelligence is key to combine all the design and make the system really a standout product.

The importance of Early Detection in the light of COVID-19

13/04/2022.

Melanoma has a poor prognosis with median survival of 6-9 months in the absence of timely diagnosis and treatment.

[FR] Quelle éthique pour l’intelligence artificielle en santé ?

11/04/2022.

Intégrer l’intelligence artificielle au domaine médical, c’est se poser les bonnes questions, notamment au niveau éthique.