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Kamolrat Silamut
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2020 – today
- 2021
- [d1]Feng Yang
, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jaeger
Malaria Thick Blood Smears. IEEE DataPort, 2021 - 2020
- [j1]Feng Yang
Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. IEEE J. Biomed. Health Informatics 24(5): 1427-1438 (2020) - [c6]Feng Yang, Nicolas Quizon, Hang Yu, Kamolrat Silamut, Richard James Maude
Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c5]Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude
Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones. AIPR 2019: 1-4 - [c4]Feng Yang
Smartphone-Supported Malaria Diagnosis Based on Deep Learning. MLMI@MICCAI 2019: 73-80 - 2018
- [c3]Golnaz Moallem
Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. Digital Pathology 2018: 105811F - 2017
- [c2]Golnaz Moallem
Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears. AIPR 2017: 1-8 - 2016
- [c1]Zhaohui Liang
CNN-based image analysis for malaria diagnosis. BIBM 2016: 493-496
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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