6/05/2022.
Image colour transfer aims to alter the colours of one image (source) to mimic the appearance and colour palette of another one (target).
6/05/2022.
Image colour transfer aims to alter the colours of one image (source) to mimic the appearance and colour palette of another one (target).
4/05/2022.
In this blogpost we will talk about the importance of image segmentation for dermoscopy as well as other medical imaging techniques. For skin cancer screening it is of importance to segment the nevus from the skin.
30/04/2022.
Image Super-Resolution is the task of restoring a high-resolution image out of one or several lower resolution images. A simple enlargement of the image would produce a blurred result, so a special approach is needed to boost the apparent resolution and enhance image sharpness.
29/04/2022.
Image deblurring is the technique of removing blurring artifacts from an image that can come from object motion, camera shake or out-of-focus blur.
28/04/2022.
iToBoS project was presented in BioTech Spain, an online portal dedicated to the dissemination and diffusion of projects and news related to biotechnology in Spain.
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.