APA (7th ed.) Citation

Chaudhry, H. A. H., Farid, M. S., Fiandrotti, A., & Grangetto, M. (2024). A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection. Neural Computing & Applications, 36(31), 19795. https://doi.org/10.1007/s00521-024-10219-w

Chicago Style (17th ed.) Citation

Chaudhry, Hafiza Ayesha Hoor, Muhammad Shahid Farid, Attilio Fiandrotti, and Marco Grangetto. "A Lightweight Deep Learning Architecture for Malaria Parasite-type Classification and Life Cycle Stage Detection." Neural Computing & Applications 36, no. 31 (2024): 19795. https://doi.org/10.1007/s00521-024-10219-w.

MLA (9th ed.) Citation

Chaudhry, Hafiza Ayesha Hoor, et al. "A Lightweight Deep Learning Architecture for Malaria Parasite-type Classification and Life Cycle Stage Detection." Neural Computing & Applications, vol. 36, no. 31, 2024, p. 19795, https://doi.org/10.1007/s00521-024-10219-w.