Detection of Epithelial Giant Cells in Nasal
Aspirate Cytological Smears Using Deep Learning
and Computer Vision Techniques: an Approach
for Early Diagnosis of Measles Disease
Abhishek S. Rao1*, Karthik Pai B.H.1, Sneha Nayak2, and Rathika D. Shenoy3
1NITTE (Deemed to be University), NMAM Institute of Technology (NMAMIT),
Dept. of Information Science and Engineering, Nitte 574110 Karnataka, India
2NITTE (Deemed to be University), NMAM Institute of Technology (NMAMIT),
Dept. of Biotechnology Engineering, Nitte 574110 Karnataka, India
3NITTE (Deemed to be University), K.S. Hegde Medical Academy (KSHEMA),
Dept. of Paediatrics, Mangaluru 575018 Karnataka, India
*Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
[Download]
Rao A et al. 2022. Detection of Epithelial Giant Cells in Nasal Aspirate Cytological Smears Using Deep Learning and Computer Vision
Techniques: an Approach for Early Diagnosis of Measles Disease. Philipp J Sci 151(6A): 2129–2143. https://doi.org/10.56899/151.6A.06
