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Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices.
Song, Zhiye; Asiedu, Mercy; Wang, Shuhang; Li, Qian; Ozturk, Arinc; Mittal, Vipasha; Schoen, Scott; Ramaswamy, Srinath; Pierce, Theodore T; Samir, Anthony E; Eldar, Yonina C; Chandrakasan, Anantha; Kumar, Viksit.
Afiliação
  • Song Z; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. zhiye@mit.edu.
  • Asiedu M; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Wang S; Center for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
  • Li Q; Center for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
  • Ozturk A; Center for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
  • Mittal V; Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, Guangdong, China.
  • Schoen S; Center for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
  • Ramaswamy S; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Pierce TT; Center for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
  • Samir AE; Texas Instruments, Dallas, TX, USA.
  • Eldar YC; Center for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
  • Chandrakasan A; Center for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
  • Kumar V; Department of Computer Science and Applied Mathematics, Weizmann institute of Science, Rehovot, Israel.
Sci Rep ; 13(1): 16450, 2023 09 30.
Article em En | MEDLINE | ID: mdl-37777523
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bexiga Urinária / Retenção Urinária Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bexiga Urinária / Retenção Urinária Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article