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

Gudhe, Naga Raju; Kosma, Veli-Matti; Behravan, Hamid; Mannermaa, Arto

Gudhe, Naga Raju; Kosma, Veli-Matti; Behravan, Hamid; Mannermaa, Arto.

Afiliación

Gudhe NR; Institute of Clinical Medicine, Pathology and Forensic Medicine, Multidisciplinary Cancer research community RC Cancer, University of Eastern Finland, P.O. Box 1627, Kuopio, 70211, Finland. raju.gudhe@uef.fi.
Kosma VM; Institute of Clinical Medicine, Pathology and Forensic Medicine, Multidisciplinary Cancer research community RC Cancer, University of Eastern Finland, P.O. Box 1627, Kuopio, 70211, Finland.
Behravan H; Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland.
Mannermaa A; Institute of Clinical Medicine, Pathology and Forensic Medicine, Multidisciplinary Cancer research community RC Cancer, University of Eastern Finland, P.O. Box 1627, Kuopio, 70211, Finland.

BMC Med Imaging ; 23(1): 162, 2023 10 19.

Article en En | MEDLINE | ID: mdl-37858043

Asunto(s)

Aprendizaje Profundo; Humanos; Procesamiento de Imagen Asistido por Computador/métodos; Teorema de Bayes; Redes Neurales de la Computación; Núcleo Celular

Palabras clave

Bayesian deep learning; Digital pathology; Medical image analysis; Nuclei segmentation; Semantic segmentation; Uncertainty estimation

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Límite: Humans Idioma: En Revista: BMC Med Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Finlandia

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google