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...

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Detalles Bibliográficos
Autores principales: Chen, Yao-Mei, Chou, Fu-I, Ho, Wen-Hsien, Tsai, Jinn-Tsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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