1 citations · 1 across the 3 of their papers we have counts for
3 papers
MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
Marco Colussi, Dragan Ahmetovic, Sergio Mascetti
This paper presents MIAS-SAM, a novel approach for the segmentation of anomalous regions in medical images. MIAS-SAM uses a patch-based memory bank to store relevant image features…
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
Marco Colussi, Sergio Mascetti, Jose Dolz +1
The remarkable progress in deep learning (DL) showcases outstanding results in various computer vision tasks. However, adaptation to real-time variations in data distributions rema…
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images
Mattia Giovanni Campana, Marco Colussi, Franca Delmastro +2
In recent months, the monkeypox (mpox) virus -- previously endemic in a limited area of the world -- has started spreading in multiple countries until being declared a ``public hea…