Work

COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features

Year: 2021

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2021.105153

Authors: Madhurananda Pahar, Marisa Klopper, Robin Warren, Thomas Niesler

Institutions: Stellenbosch University, South African Medical Research Council

Language: English

Topic: Phonocardiography and Auscultation Techniques

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: European Commission, South African Medical Research Council, National Treasury, Center for High Performance Computing, Division of Research Capacity Development, European and Developing Countries Clinical Trials Partnership

Awards: G3382804819, G6937994374, G7063735130, The role of Mycobacterium tuberculosis compensatory mutations in metabolic fitness via the structure and function of mycolic acids

OpenAlex ID: W3193775699

FWCI: 12.77

Cites: 67

Cited by: 105

Related to: 10