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Deep learning-based decision forest for hereditary clear cell renal cell carcinoma segmentation on MRI.
Lay, Nathan; Anari, Pouria Yazdian; Chaurasia, Aditi; Firouzabadi, Fatemeh Dehghani; Harmon, Stephanie; Turkbey, Evrim; Gautam, Rabindra; Samimi, Safa; Merino, Maria J; Ball, Mark W; Linehan, William Marston; Turkbey, Baris; Malayeri, Ashkan A.
Afiliação
  • Lay N; Artificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, Bethesda, Maryland, USA.
  • Anari PY; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Chaurasia A; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Firouzabadi FD; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Harmon S; Artificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, Bethesda, Maryland, USA.
  • Turkbey E; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Gautam R; Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
  • Samimi S; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Merino MJ; Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
  • Ball MW; Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
  • Linehan WM; Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
  • Turkbey B; Artificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, Bethesda, Maryland, USA.
  • Malayeri AA; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Med Phys ; 50(8): 5020-5029, 2023 Aug.
Article em En | MEDLINE | ID: mdl-36855860
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma / Carcinoma de Células Renais / Cistos / Aprendizado Profundo / Neoplasias Renais Tipo de estudo: Clinical_trials Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma / Carcinoma de Células Renais / Cistos / Aprendizado Profundo / Neoplasias Renais Tipo de estudo: Clinical_trials Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article