Your browser doesn't support javascript.
loading
A Histogram Analysis of the Pixel Grayscale (Luminous Intensity) of B-Mode Ultrasound Images of the Subcutaneous Layer Predicts the Grade of Leg Edema in Pregnant Women.
Ikuta, Eri; Koshiyama, Masafumi; Watanabe, Yumiko; Banba, Airi; Yanagisawa, Nami; Nakagawa, Miwa; Ono, Ayumi; Seki, Keiko; Kambe, Haruki; Godo, Taiki; Sakamoto, Shin-Ichi; Hara, Yoko; Nakajima, Akira.
Afiliação
  • Ikuta E; Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
  • Koshiyama M; Department of Women's Health, Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
  • Watanabe Y; Department of Women's Health, Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
  • Banba A; Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
  • Yanagisawa N; School of Nursing, Tsuruga Nursing University, Tsuruga 914-0814, Japan.
  • Nakagawa M; Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
  • Ono A; Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
  • Seki K; Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
  • Kambe H; Department of Electronic Systems Engineering, School of Engineering, The University of Shiga Prefecture, Hikone 522-0057, Japan.
  • Godo T; Department of Electronic Systems Engineering, School of Engineering, The University of Shiga Prefecture, Hikone 522-0057, Japan.
  • Sakamoto SI; Department of Electronic Systems Engineering, School of Engineering, The University of Shiga Prefecture, Hikone 522-0057, Japan.
  • Hara Y; Iris Women's Clinic, Hikone 522-0057, Japan.
  • Nakajima A; Iris Women's Clinic, Hikone 522-0057, Japan.
Healthcare (Basel) ; 11(9)2023 May 05.
Article em En | MEDLINE | ID: mdl-37174870
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies 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 Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article