Your browser doesn't support javascript.
loading
COVID-19 image classification using deep learning: Advances, challenges and opportunities.
Aggarwal, Priya; Mishra, Narendra Kumar; Fatimah, Binish; Singh, Pushpendra; Gupta, Anubha; Joshi, Shiv Dutt.
Affiliation
  • Aggarwal P; The Vehant Technology Pvt. Ltd., Noida, India. Electronic address: priyaaggarwal27@gmail.com.
  • Mishra NK; The Department of EE, Indian Institute of Technology Delhi, Delhi 110016, India. Electronic address: eez188568@ee.iitd.ac.in.
  • Fatimah B; The Department of ECE, CMR Institute of Technology, Bengaluru, India. Electronic address: binish.fatimah@gmail.com.
  • Singh P; The Department of ECE, National Institute of Technology Hamirpur, HP, India. Electronic address: spushp@nith.ac.in.
  • Gupta A; The Department of ECE, IIIT-Delhi, Delhi, 110020, India. Electronic address: anubha@iiitd.ac.in.
  • Joshi SD; The Department of EE, Indian Institute of Technology Delhi, Delhi 110016, India. Electronic address: sdjoshi@ee.iitd.ac.in.
Comput Biol Med ; 144: 105350, 2022 05.
Article in En | MEDLINE | ID: mdl-35305501
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Guideline Limits: Humans Language: En Journal: Comput Biol Med Year: 2022 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Guideline Limits: Humans Language: En Journal: Comput Biol Med Year: 2022 Document type: Article