Published June 2024
| Version v2
Software
Open
Deep-learning assisted detection and quantification of (oo)cysts of Giardia and Cryptosporidium on smartphone microscopy images.
Creators
- 1. NepAl Applied Mathematics and Informatics Institute for research (NAAMII), Kathmandu, Nepal, Center for Analytical Sciences, Kathmandu Institute of Applied Sciences (KIAS), Lalitpur, Nepal
- 2. Center for Analytical Sciences, Kathmandu Institute of Applied Sciences (KIAS), Lalitpur, Nepal
- 3. NepAl Applied Mathematics and Informatics Institute for research (NAAMII), Kathmandu, Nepal
Description
Initial code release for the paper "Deep-learning Assisted Detection and Quantification of (oo) cysts of Giardia and Cryptosporidium on Smartphone Microscopy Images" published at MELBA (The Journal of Machine Learning for Biomedical Imaging).
Files
suprimnakarmi/smartphone_microscopy-v0.1.0.zip
Files
(1.1 MB)
| Name | Size | Download all |
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md5:7e6079f3587362b5ce8f787716960a35
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1.1 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/suprimnakarmi/smartphone_microscopy/tree/v0.1.0 (URL)