Work

RAW DATA - An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar - RAW DATA

Year: 2023

Type: dataset

Abstract: Raw data (original images, labelled masks) from "An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar"; https://doi.org/10.1016/j.cmpb.2022.107321

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7645193

Authors: Papetti, Daniele M, Van Abeleen, K, Davies, Rhodri, Menè, Roberto, Heilbron, Francesca, Perelli, Francesco P, Artico, Jessica, Seraphim, Andreas, Moon, James C, Parati, Gianfranco, Xue, Hui, Kellman, Peter, Badano, Luigi P, Besozzi, Daniela, Nobile, Marco S, Torlasco, Camilla

Institutions: University of Milano-Bicocca, University College London, IRCCS Istituto Auxologico Italiano, National Institutes of Health, Ca' Foscari University of Venice

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4393500737

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