Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning

BACKGROUND: The deterministic deep learning models have achieved state-of-the-art performance in various medical image analysis tasks, including nuclei segmentation from histopathology images. The deterministic models focus on improving the model prediction accuracy without assessing the confidence...

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Detalles Bibliográficos
Autores principales: Gudhe, Naga Raju, Kosma, Veli-Matti, Behravan, Hamid, Mannermaa, Arto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585914/
https://www.ncbi.nlm.nih.gov/pubmed/37858043
http://dx.doi.org/10.1186/s12880-023-01121-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585914/
https://www.ncbi.nlm.nih.gov/pubmed/37858043
http://dx.doi.org/10.1186/s12880-023-01121-3

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