Accuracy of Tested DCNN Models for <i><i>T. brucei</i></i> classification.

Accuracy of Tested DCNN Models for <i><i>T. brucei</i></i> classification.

<p>Accuracy of Tested DCNN Models for <i><i>T. brucei</i></i> classification.</p>

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Hamid Cheraghi (22057476) (author)
مؤلفون آخرون:	Lara López-Escobar (22057479) (author), José Rino (81063) (author), Luisa M. Figueiredo (7841315) (author), Bálint Szabó (235162) (author)
منشور في:	2025
الموضوعات:	Medicine Microbiology Cell Biology Sociology Space Science Biological Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified understanding parasite biology two key stages segmentation step using outperforming standard architectures flourescent transgenic parasites extracts individual parasites unlabeled microscopic images parasite stage classification classification step utilizing div >< p trypanosoma brucei </ brucei </ unlabeled morphology brucei ,</ classification model accurate classification xception architecture transmission dynamics transfer learning throughput analysis results demonstrate pipeline consists learning pipeline highly challenging forms visually efficient approach deep learning cellpose algorithm bloodstream forms biomedical imaging automated deep
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