Efficient and precise cell counting for RNAi screening of Orientia tsutsugamushi infection using deep learning techniques

Author:

Kanchanapiboon PotjaneeORCID,Songsaksuppachok Chuenchat,Chusorn Porncheera,Ritthipravat PanraseeORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference50 articles.

1. Molecular description of a novel orientia species causing scrub typhus in Chile;Abarca;Emerging Infectious Diseases,2020

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3. Machine learning approach of automatic identification and counting of blood cells;Alam;Healthcare Technology Letters,2019

4. Analytical study of two feature extraction methods in comparison with deep learning methods for classification of small metal objects;Amraee;Visual Computing for Industry, Biomedicine, and Art,2022

5. CellCountCV—A web-application for accurate cell counting and automated batch processing of microscopic images using fully convolutional neural networks;Antonets,2020

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