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Classifying microscopic images as acute lymphoblastic leukemia by Resnet ensemble model and Taguchi method
BACKGROUND: Researchers have attempted to apply deep learning methods of artificial intelligence for rapidly and accurately detecting acute lymphoblastic leukemia (ALL) in microscopic images. RESULTS: A Resnet101-9 ensemble model was developed for classifying ALL in microscopic images. The proposed...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753813/ https://www.ncbi.nlm.nih.gov/pubmed/35016610 http://dx.doi.org/10.1186/s12859-022-04558-5 |