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Page 1
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection.
J Imaging. 2023 Nov 30;9(12):266. doi: 10.3390/jimaging9120266.
J Imaging. 2023.
PMID: 38132684
Free PMC article.
On The Potential of Image Moments for Medical Diagnosis.
Di Ruberto C, Loddo A, Putzu L.
Di Ruberto C, et al. Among authors: loddo a.
J Imaging. 2023 Mar 17;9(3):70. doi: 10.3390/jimaging9030070.
J Imaging. 2023.
PMID: 36976121
Free PMC article.
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Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology.
Loddo A, Di Ruberto C, Kocher M.
Loddo A, et al.
Sensors (Basel). 2018 Feb 8;18(2):513. doi: 10.3390/s18020513.
Sensors (Basel). 2018.
PMID: 29419781
Free PMC article.
Review.
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An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis.
Loddo A, Fadda C, Di Ruberto C.
Loddo A, et al.
J Imaging. 2022 Mar 7;8(3):66. doi: 10.3390/jimaging8030066.
J Imaging. 2022.
PMID: 35324621
Free PMC article.
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Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.
Loddo A, Buttau S, Di Ruberto C.
Loddo A, et al.
Comput Biol Med. 2022 Feb;141:105032. doi: 10.1016/j.compbiomed.2021.105032. Epub 2021 Nov 21.
Comput Biol Med. 2022.
PMID: 34838263
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On the Efficacy of Handcrafted and Deep Features for Seed Image Classification.
Loddo A, Di Ruberto C.
Loddo A, et al.
J Imaging. 2021 Aug 31;7(9):171. doi: 10.3390/jimaging7090171.
J Imaging. 2021.
PMID: 34564097
Free PMC article.
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Detection of red and white blood cells from microscopic blood images using a region proposal approach.
Di Ruberto C, Loddo A, Putzu L.
Di Ruberto C, et al. Among authors: loddo a.
Comput Biol Med. 2020 Jan;116:103530. doi: 10.1016/j.compbiomed.2019.103530. Epub 2019 Nov 7.
Comput Biol Med. 2020.
PMID: 31778895
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