"A lightweight deep learning architecture for malaria parasite-type ..."

Hafiza Ayesha Hoor Chaudhry et al. (2024)

> Home

Details and statistics

DOI: 10.1007/S00521-024-10219-W

access: open

type: Journal Article

metadata version: 2024-12-09

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/nca/ChaudhryFFG24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nca/ChaudhryFFG24
Hafiza Ayesha Hoor Chaudhry, Muhammad Shahid Farid, Attilio Fiandrotti, Marco Grangetto:
A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection. Neural Comput. Appl. 36(31): 19795-19805 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.