Deep learning-based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients.

Abstract

Authors

• Masaru Matsumoto
  Department of Imaging Nursing Science, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
• Takuya Tsutaoka
  Department of Imaging Nursing Science, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
• Gojiro Nakagami
  Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
• Shiho Tanaka
  Department of Gerontological Nursing / Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
• Mikako Yoshida
  Department of Women's Health Nursing & Midwifery, Tohoku University Graduate School of Medicine, Miyagi, Japan.
• Yuka Miura
  Department of Imaging Nursing Science, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
• Junko Sugama
  Institute for Frontier Science Initiative, Kanazawa University, Ishikawa, Japan.
• Shingo Okada
  Department of Surgery, Kitamihara Clinic, Hokkaido, Japan.
• Hideki Ohta
  Medical Corporation Activities Supporting Medicine: Systematic Services (A.S.M.ss), Tochigi, Japan.
• Hiromi Sanada
  Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Keywords

External Resources