COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring

Amer, Rula ; Nassar, Jannette ; et al.

arXiv, 2020

Online unknown

Zugriff:

In this work, we estimate the severity of pneumonia in COVID-19 patients and conduct a longitudinal study of disease progression. To achieve this goal, we developed a deep learning model for simultaneous detection and segmentation of pneumonia in chest Xray (CXR) images and generalized to COVID-19 pneumonia. The segmentations were utilized to calculate a "Pneumonia Ratio" which indicates the disease severity. The measurement of disease severity enables to build a disease extent profile over time for hospitalized patients. To validate the model relevance to the patient monitoring task, we developed a validation strategy which involves a synthesis of Digital Reconstructed Radiographs (DRRs - synthetic Xray) from serial CT scans; we then compared the disease progression profiles that were generated from the DRRs to those that were generated from CT volumes.

Comment: paper was accepted to JBHI IEEE journal

Titel:	COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
Autor/in / Beteiligte Person:	Amer, Rula ; Nassar, Jannette ; Gozes, Ophir ; Greenspan, Hayit ; Frid-Adar, Maayan
Link:	View record in OpenAIRE (Volltext)
Veröffentlichung:	arXiv, 2020
Medientyp:	unknown
DOI:	10.48550/arxiv.2008.02150
Schlagwort:	FOS: Computer and information sciences Computer Science - Machine Learning medicine.medical_specialty Coronavirus disease 2019 (COVID-19) Remote patient monitoring Radiography Computer Vision and Pattern Recognition (cs.CV) Pneumonia, Viral Computer Science - Computer Vision and Pattern Recognition Disease Severity of Illness Index 030218 nuclear medicine & medical imaging Machine Learning (cs.LG) 03 medical and health sciences 0302 clinical medicine Health Information Management Severity of illness medicine FOS: Electrical engineering, electronic engineering, information engineering Humans Electrical and Electronic Engineering Monitoring, Physiologic SARS-CoV-2 business.industry Image and Video Processing (eess.IV) Case-control study COVID-19 Electrical Engineering and Systems Science - Image and Video Processing Disease monitoring medicine.disease Computer Science Applications Pneumonia Case-Control Studies Radiography, Thoracic Radiology business 030217 neurology & neurosurgery Biotechnology
Sonstiges:	Nachgewiesen in: OpenAIRE Rights: OPEN

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