A lightweight deep-learning model for parasite egg detection in microscopy images
Abstract Background Intestinal parasitic infections are still a serious public health problem in developing countries, and the diagnosis of parasitic infections requires the first step of parasite/egg detection of samples. Automated detection can eliminate the dependence on professionals, but the cu...
Saved in:
| Main Authors: | Wenbin Xu, Qiang Zhai, Jizhong Liu, Xingyu Xu, Jing Hua |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-11-01
|
| Series: | Parasites & Vectors |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13071-024-06503-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lightweight UAV Detection Method Based on IASL-YOLO
by: Huaiyu Yang, et al.
Published: (2025-04-01) -
Soil contamination with intestinal parasites eggs in public parks and playgrounds in Kirkuk city
by: Huda Mawlood Taher
Published: (2023-01-01) -
Egg Spots Are Important Cues for Egg Recognition in Barn Swallows
by: Kui Yan, et al.
Published: (2025-04-01) -
Host personality and seasonal parasitism risk do not account for egg rejection behavior in the azure-winged magpie
by: Xingyi Jiang, et al.
Published: (2025-04-01) -
In vitro ovicidal studies on egg-parasitic fungus Pochonia chlamydosporia and safety tests on mice
by: Yuan Ma, et al.
Published: (2025-01-01)