iToBoS presented through the poster "Exosome micro RNAs as liquid biopsy biomarkers to follow-up skin melanomas patients".

For image denoising, there is an important line of work that uses the self-similarity principle that natural images obey: an image contains many image patches similar between each other. To remove noise, one can look for similar patches in an image and average them.

In EU 27, melanoma is the 6th type of cancer in terms of incidence (new cases per year) after breast, colorectum, prostate, lung and bladder and the 16th in terms of mortality (yearly deaths).

Training data balance is crucial to the performance of machine learning (ML) models, especially deep learning models. There would be a high risk of overfitting when training on unbalanced datasets.

Image inpainting is the technique of reconstructing of missing portions in an image in an undetectable way, restoring both texture and structure.

Image colour transfer aims to alter the colours of one image (source) to mimic the appearance and colour palette of another one (target).

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.

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.

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.

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.