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HaTU-Net: Harmonic Attention Network for Automated Ovarian Ultrasound Quantification in Assisted Pregnancy.
Singh, Vivek Kumar; Yousef Kalafi, Elham; Cheah, Eugene; Wang, Shuhang; Wang, Jingchao; Ozturk, Arinc; Li, Qian; Eldar, Yonina C; Samir, Anthony E; Kumar, Viksit.
Afiliación
  • Singh VK; Center for Ultrasound Research & Translation at the Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
  • Yousef Kalafi E; Center for Ultrasound Research & Translation at the Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
  • Cheah E; Center for Ultrasound Research & Translation at the Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
  • Wang S; Center for Ultrasound Research & Translation at the Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
  • Wang J; Department of Ultrasound, The Third Hospital of Hebei Medical University, Shijiazhuang 050051, China.
  • Ozturk A; Center for Ultrasound Research & Translation at the Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
  • Li Q; Center for Ultrasound Research & Translation at the Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
  • Eldar YC; Faculty of Mathematics and Computer Science, Weizmann Institute of Science, Rehovot 7610001, Israel.
  • Samir AE; Center for Ultrasound Research & Translation at the Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
  • Kumar V; Center for Ultrasound Research & Translation at the Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
Diagnostics (Basel) ; 12(12)2022 Dec 18.
Article en En | MEDLINE | ID: mdl-36553220

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza