March 13, 2024, 4:43 a.m. | Iman Islam (King's College London), Esther Puyol-Ant\'on (King's College London), Bram Ruijsink (King's College London), Andrew J. Reader (King's Coll

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.07818v1 Announce Type: cross
Abstract: Echocardiography (echo) is the first imaging modality used when assessing cardiac function. The measurement of functional biomarkers from echo relies upon the segmentation of cardiac structures and deep learning models have been proposed to automate the segmentation process. However, in order to translate these tools to widespread clinical use it is important that the segmentation models are robust to a wide variety of images (e.g. acquired from different scanners, by operators with different levels of …

abstract arxiv automate cs.ai cs.cv cs.lg datasets deep learning domain dropout echo function functional however imaging labelling measurement multiple process segmentation shift type

Senior Data Engineer

@ Displate | Warsaw

Junior Data Analyst - ESG Data

@ Institutional Shareholder Services | Mumbai

Intern Data Driven Development in Sensor Fusion for Autonomous Driving (f/m/x)

@ BMW Group | Munich, DE

Senior MLOps Engineer, Machine Learning Platform

@ GetYourGuide | Berlin

Data Engineer, Analytics

@ Meta | Menlo Park, CA

Data Engineer

@ Meta | Menlo Park, CA