Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset.

Conrad, Ryan; Narayan, Kedar

Conrad, Ryan; Narayan, Kedar.

Afiliación

Conrad R; Center for Molecular Microscopy, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
Narayan K; Center for Molecular Microscopy, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA. Electronic address: kedar.narayan@nih.gov.

Cell Syst ; 14(1): 58-71.e5, 2023 01 18.

Article en En | MEDLINE | ID: mdl-36657391

Asunto(s)

Aprendizaje Profundo; Microscopía Electrónica; Mitocondrias; Microscopía Electrónica de Volumen

Palabras clave

benchmark; crowdsourcing; deep learning; electron microscopy; image dataset; mitochondria; panoptic; segmentation; volume EM; volume electron miscroscopy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Idioma: En Revista: Cell Syst Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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