Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation

no code implementations • 2 Nov 2021 • Gaetano Scebba, Jia Zhang, Sabrina Catanzaro, Carina Mihai, Oliver Distler, Martin Berli, Walter Karlen

When tested on the wound images drawn from the supplemental data sets, the DS approach increased the mean MCC from 0. 17 to 0. 85.

Image Segmentation Segmentation +1

Multispectral Video Fusion for Non-contact Monitoring of Respiratory Rate and Apnea

no code implementations • 21 Apr 2020 • Gaetano Scebba, Giulia Da Poian, Walter Karlen

The algorithm independently addresses the RR estimation and apnea detection tasks.

Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks

no code implementations • 17 Oct 2017 • Patrick Schwab, Gaetano Scebba, Jia Zhang, Marco Delai, Walter Karlen

With tens of thousands of electrocardiogram (ECG) records processed by mobile cardiac event recorders every day, heart rhythm classification algorithms are an important tool for the continuous monitoring of patients at risk.

General Classification