27/04/2022.
The scientific work "Explaining the Predictions of Unsupervised Learning Models", developed with the support of the iToBoS project, has been published.
27/04/2022.
The scientific work "Explaining the Predictions of Unsupervised Learning Models", developed with the support of the iToBoS project, has been published.
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.
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.
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”.
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.
20/04/2022.
The scientific work "Explainable AI Methods - A Brief Overview", with the support of iToBoS project, has been published.
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.
15/04/2022.
In iToBoS, machine learning/ artificial intelligence is key to combine all the design and make the system really a standout product.
13/04/2022.
Melanoma has a poor prognosis with median survival of 6-9 months in the absence of timely diagnosis and treatment.
11/04/2022.
Intégrer l’intelligence artificielle au domaine médical, c’est se poser les bonnes questions, notamment au niveau éthique.