Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)

BACKGROUND: Nuclei classification, segmentation, and detection from pathological images are challenging tasks due to cellular heterogeneity in the Whole Slide Images (WSI). METHODS: In this work, we propose advanced DCNN models for nuclei classification, segmentation, and detection tasks. The Densel...

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Detalles Bibliográficos
Autores principales: Alom, Zahangir, Asari, Vijayan K., Parwani, Anil, Taha, Tarek M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017017/
https://www.ncbi.nlm.nih.gov/pubmed/35436941
http://dx.doi.org/10.1186/s13000-022-01189-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017017/
https://www.ncbi.nlm.nih.gov/pubmed/35436941
http://dx.doi.org/10.1186/s13000-022-01189-5

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