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Evaluation of grade and invasiveness of bladder urothelial carcinoma using infrared imaging and machine learning.
Kujdowicz, Monika; Perez-Guaita, David; Chlosta, Piotr; Okon, Krzysztof; Malek, Kamilla.
Afiliação
  • Kujdowicz M; Department of Pathomorphology, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Grzegorzecka 16, 31-531, Poland.
  • Perez-Guaita D; Faculty of Chemistry, Jagiellonian University in Krakow, Krakow, Gronostajowa 2, 30-387, Poland. kamilla.malek@uj.edu.pl.
  • Chlosta P; Department of Analytical Chemistry, University of Valencia, 50 Dr. Moliner Street, Research Building, 46100 Burjassot, Valencia, Spain. david.perez-guaita@uv.es.
  • Okon K; Department of Urology, Medical Faculty, Jagiellonian University Medical College, Krakow, Jakubowskiego 2, 30-688, Poland.
  • Malek K; Department of Pathomorphology, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Grzegorzecka 16, 31-531, Poland.
Analyst ; 148(2): 278-285, 2023 Jan 16.
Article em En | MEDLINE | ID: mdl-36525038
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Carcinoma de Células de Transição Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Carcinoma de Células de Transição Idioma: En Ano de publicação: 2023 Tipo de documento: Article