Machine learning for cell classification and neighborhood analysis in glioma tissue.

Solorzano, Leslie; Wik, Lina; Olsson Bontell, Thomas; Wang, Yuyu; Klemm, Anna H; Öfverstedt, Johan; Jakola, Asgeir S; Östman, Arne; Wählby, Carolina

Solorzano, Leslie; Wik, Lina; Olsson Bontell, Thomas; Wang, Yuyu; Klemm, Anna H; Öfverstedt, Johan; Jakola, Asgeir S; Östman, Arne; Wählby, Carolina.

Afiliação

Solorzano L; Department of Information Technology, Uppsala University, Uppsala, Sweden.
Wik L; Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
Olsson Bontell T; Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Wang Y; Department of Physiology, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden.
Klemm AH; Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
Öfverstedt J; Department of Information Technology, Uppsala University, Uppsala, Sweden.
Jakola AS; BioImage Informatics Facility, Science for Life Laboratory, SciLifeLab, Sweden.
Östman A; Department of Information Technology, Uppsala University, Uppsala, Sweden.
Wählby C; Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden.

Cytometry A ; 99(12): 1176-1186, 2021 12.

Article em En | MEDLINE | ID: mdl-34089228

Assuntos

Glioma; Humanos; Aprendizado de Máquina; Redes Neurais de Computação; Reprodutibilidade dos Testes

Palavras-chave

cell classification; community analysis; machine learning; multiplex immunofluorescence

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glioma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cytometry A Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suécia

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google