Identification of veterinary and medically important blood parasites using contrastive loss-based self-supervised learning
Background and Aim: Zoonotic diseases caused by various blood parasites are important public health concerns that impact animals and humans worldwide. The traditional method of microscopic examination for parasite diagnosis is labor-intensive, time-consuming, and prone to variability among observers...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Veterinary World
2024-11-01
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| Series: | Veterinary World |
| Subjects: | |
| Online Access: | https://www.veterinaryworld.org/Vol.17/November-2024/22.pdf |
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