Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey.

Bhattacharya, Sweta; Reddy Maddikunta, Praveen Kumar; Pham, Quoc-Viet; Gadekallu, Thippa Reddy; Krishnan S, Siva Rama; Chowdhary, Chiranji Lal; Alazab, Mamoun; Jalil Piran, Md

Bhattacharya, Sweta; Reddy Maddikunta, Praveen Kumar; Pham, Quoc-Viet; Gadekallu, Thippa Reddy; Krishnan S, Siva Rama; Chowdhary, Chiranji Lal; Alazab, Mamoun; Jalil Piran, Md.

Afiliação

Bhattacharya S; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Reddy Maddikunta PK; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Pham QV; Research Institute of Computer, Information and Communication, Pusan National University, Busan 46241, Republic of Korea.
Gadekallu TR; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Krishnan S SR; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Chowdhary CL; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Alazab M; College of Engineering, IT & Environment, Charles Darwin University, Australia.
Jalil Piran M; Department of Computer Science and Engineering, Sejong University, 05006, Seoul, Republic of Korea.

Sustain Cities Soc ; 65: 102589, 2021 Feb.

Article em En | MEDLINE | ID: mdl-33169099

Palavras-chave

Artificial intelligence (AI); Big data; COVID-19; Coronavirus pandemic; Deep learning; Epidemic outbreak; Medical image processing

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 4_TD Base de dados: MEDLINE Idioma: En Revista: Sustain Cities Soc Ano de publicação: 2021 Tipo de documento: Article

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