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Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer.
Owens, Constance A; Peterson, Christine B; Tang, Chad; Koay, Eugene J; Yu, Wen; Mackin, Dennis S; Li, Jing; Salehpour, Mohammad R; Fuentes, David T; Court, Laurence E; Yang, Jinzhong.
Afiliación
  • Owens CA; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Peterson CB; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, Texas, United States of America.
  • Tang C; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, Texas, United States of America.
  • Koay EJ; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Yu W; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Mackin DS; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Li J; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Salehpour MR; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Fuentes DT; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, Texas, United States of America.
  • Court LE; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Yang J; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
PLoS One ; 13(10): e0205003, 2018.
Article en En | MEDLINE | ID: mdl-30286184
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Carcinoma de Pulmón de Células no Pequeñas / Incertidumbre / Neoplasias Pulmonares Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Carcinoma de Pulmón de Células no Pequeñas / Incertidumbre / Neoplasias Pulmonares Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos