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Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.
Cho, Junghwan; Park, Ki-Su; Karki, Manohar; Lee, Eunmi; Ko, Seokhwan; Kim, Jong Kun; Lee, Dongeun; Choe, Jaeyoung; Son, Jeongwoo; Kim, Myungsoo; Lee, Sukhee; Lee, Jeongho; Yoon, Changhyo; Park, Sinyoul.
Afiliação
  • Cho J; CAIDE Systems Inc., 110 Canal St., Lowell, MA, 01852, USA. jcho@caidesystems.com.
  • Park KS; Department of Neurosurgery, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Karki M; CAIDE Systems Inc., 110 Canal St., Lowell, MA, 01852, USA.
  • Lee E; CAIDE Systems Inc., 110 Canal St., Lowell, MA, 01852, USA.
  • Ko S; CAIDE Systems Inc., 110 Canal St., Lowell, MA, 01852, USA.
  • Kim JK; Department of Emergency Medicine, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Lee D; Department of Emergency Medicine, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Choe J; Department of Emergency Medicine, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Son J; Department of Emergency Medicine, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Kim M; Department of Neurosurgery, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Lee S; Department of Emergency Medicine, School of Medicine of Daegu Catholic University, 33 Duryugongwon-ro, 17-gil, Nam-gu, Daegu, Gyeongsangbuk-do, South Korea.
  • Lee J; Department of Neurosurgery, Daegu Fatima Hospital, 99 Ayang-ro, Dong-gu, Daegu, South Korea.
  • Yoon C; Department of Neurology, Changwon Hospital Gyeongsang National University, 11 Samjeongja-ro, Seongsan-gu, Changwon, South Korea.
  • Park S; Department of Emergency Medicine, College of Medicine of Yeungnam University, 317-1 Daemyung-dong, Nam-gu, Daegu, 705-717, South Korea.
J Digit Imaging ; 32(3): 450-461, 2019 06.
Article em En | MEDLINE | ID: mdl-30680471
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Radiográfica Assistida por Computador / Tomografia Computadorizada por Raios X / Redes Neurais de Computação / Hemorragias Intracranianas / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Radiográfica Assistida por Computador / Tomografia Computadorizada por Raios X / Redes Neurais de Computação / Hemorragias Intracranianas / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article