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Methods for Segmentation and Classification of Digital Microscopy Tissue Images.
Vu, Quoc Dang; Graham, Simon; Kurc, Tahsin; To, Minh Nguyen Nhat; Shaban, Muhammad; Qaiser, Talha; Koohbanani, Navid Alemi; Khurram, Syed Ali; Kalpathy-Cramer, Jayashree; Zhao, Tianhao; Gupta, Rajarsi; Kwak, Jin Tae; Rajpoot, Nasir; Saltz, Joel; Farahani, Keyvan.
Afiliación
  • Vu QD; Department of Computer Science and Engineering, Sejong University, Seoul, South Korea.
  • Graham S; Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Kurc T; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, United States.
  • To MNN; Department of Computer Science and Engineering, Sejong University, Seoul, South Korea.
  • Shaban M; Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Qaiser T; Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Koohbanani NA; Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Khurram SA; School of Clinical Dentistry, The University of Sheffield, Sheffield, United Kingdom.
  • Kalpathy-Cramer J; Department of Radiology, Harvard Medical School and Mass General Hospital, Boston, MA, United States.
  • Zhao T; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, United States.
  • Gupta R; Department of Pathology, Stony Brook University, Stony Brook, NY, United States.
  • Kwak JT; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, United States.
  • Rajpoot N; Department of Pathology, Stony Brook University, Stony Brook, NY, United States.
  • Saltz J; Department of Computer Science and Engineering, Sejong University, Seoul, South Korea.
  • Farahani K; Department of Computer Science, University of Warwick, Coventry, United Kingdom.
Article en En | MEDLINE | ID: mdl-31001524

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Bioeng Biotechnol Año: 2019 Tipo del documento: Article País de afiliación: Corea del Sur

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Bioeng Biotechnol Año: 2019 Tipo del documento: Article País de afiliación: Corea del Sur
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