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A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT images.
Wang, Lu; Zhou, He; Xu, Nan; Liu, Yuchan; Jiang, Xiran; Li, Shu; Feng, Chaolu; Xu, Hainan; Deng, Kexue; Song, Jiangdian.
Afiliação
  • Wang L; Department of Library, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China.
  • Zhou H; School of Health Management, China Medical University, Shenyang, Liaoning 110122, China.
  • Xu N; School of Health Management, China Medical University, Shenyang, Liaoning 110122, China.
  • Liu Y; School of Health Management, China Medical University, Shenyang, Liaoning 110122, China.
  • Jiang X; Department of Radiology, The First Affiliated Hospital of University of Science and Technology of China (USTC), Division of Life Sciences and Medicine, USTC Hefei, Anhui 230036, China.
  • Li S; School of Intelligent Medicine, China Medical University, Shenyang, Liaoning 110122, China.
  • Feng C; School of Health Management, China Medical University, Shenyang, Liaoning 110122, China.
  • Xu H; Key Laboratory of Intelligent Computing in Medical Image (MIIC), Ministry of Education, Shenyang, Liaoning 110169, China.
  • Deng K; Department of Obstetrics and Gynecology, Pelvic Floor Disease Diagnosis and Treatment Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China.
  • Song J; Department of Radiology, The First Affiliated Hospital of University of Science and Technology of China (USTC), Division of Life Sciences and Medicine, USTC Hefei, Anhui 230036, China.
iScience ; 26(7): 107005, 2023 Jul 21.
Article em En | MEDLINE | ID: mdl-37534183

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article