Cargando…
Deep learning for microscopic examination of protozoan parasites
The infectious and parasitic diseases represent a major threat to public health and are among the main causes of morbidity and mortality. The complex and divergent life cycles of parasites present major difficulties associated with the diagnosis of these organisms by microscopic examination. Deep le...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886013/ https://www.ncbi.nlm.nih.gov/pubmed/35284048 http://dx.doi.org/10.1016/j.csbj.2022.02.005 |
_version_ | 1784660556788006912 |
---|---|
author | Zhang, Chi Jiang, Hao Jiang, Hanlin Xi, Hui Chen, Baodong Liu, Yubing Juhas, Mario Li, Junyi Zhang, Yang |
author_facet | Zhang, Chi Jiang, Hao Jiang, Hanlin Xi, Hui Chen, Baodong Liu, Yubing Juhas, Mario Li, Junyi Zhang, Yang |
author_sort | Zhang, Chi |
collection | PubMed |
description | The infectious and parasitic diseases represent a major threat to public health and are among the main causes of morbidity and mortality. The complex and divergent life cycles of parasites present major difficulties associated with the diagnosis of these organisms by microscopic examination. Deep learning has shown extraordinary performance in biomedical image analysis including various parasites diagnosis in the past few years. Here we summarize advances of deep learning in the field of protozoan parasites microscopic examination, focusing on publicly available microscopic image datasets of protozoan parasites. In the end, we summarize the challenges and future trends, which deep learning faces in protozoan parasite diagnosis. |
format | Online Article Text |
id | pubmed-8886013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-88860132022-03-11 Deep learning for microscopic examination of protozoan parasites Zhang, Chi Jiang, Hao Jiang, Hanlin Xi, Hui Chen, Baodong Liu, Yubing Juhas, Mario Li, Junyi Zhang, Yang Comput Struct Biotechnol J Review The infectious and parasitic diseases represent a major threat to public health and are among the main causes of morbidity and mortality. The complex and divergent life cycles of parasites present major difficulties associated with the diagnosis of these organisms by microscopic examination. Deep learning has shown extraordinary performance in biomedical image analysis including various parasites diagnosis in the past few years. Here we summarize advances of deep learning in the field of protozoan parasites microscopic examination, focusing on publicly available microscopic image datasets of protozoan parasites. In the end, we summarize the challenges and future trends, which deep learning faces in protozoan parasite diagnosis. Research Network of Computational and Structural Biotechnology 2022-02-11 /pmc/articles/PMC8886013/ /pubmed/35284048 http://dx.doi.org/10.1016/j.csbj.2022.02.005 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Zhang, Chi Jiang, Hao Jiang, Hanlin Xi, Hui Chen, Baodong Liu, Yubing Juhas, Mario Li, Junyi Zhang, Yang Deep learning for microscopic examination of protozoan parasites |
title | Deep learning for microscopic examination of protozoan parasites |
title_full | Deep learning for microscopic examination of protozoan parasites |
title_fullStr | Deep learning for microscopic examination of protozoan parasites |
title_full_unstemmed | Deep learning for microscopic examination of protozoan parasites |
title_short | Deep learning for microscopic examination of protozoan parasites |
title_sort | deep learning for microscopic examination of protozoan parasites |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886013/ https://www.ncbi.nlm.nih.gov/pubmed/35284048 http://dx.doi.org/10.1016/j.csbj.2022.02.005 |
work_keys_str_mv | AT zhangchi deeplearningformicroscopicexaminationofprotozoanparasites AT jianghao deeplearningformicroscopicexaminationofprotozoanparasites AT jianghanlin deeplearningformicroscopicexaminationofprotozoanparasites AT xihui deeplearningformicroscopicexaminationofprotozoanparasites AT chenbaodong deeplearningformicroscopicexaminationofprotozoanparasites AT liuyubing deeplearningformicroscopicexaminationofprotozoanparasites AT juhasmario deeplearningformicroscopicexaminationofprotozoanparasites AT lijunyi deeplearningformicroscopicexaminationofprotozoanparasites AT zhangyang deeplearningformicroscopicexaminationofprotozoanparasites |