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

Author:

Matsumoto Masaru1ORCID,Tsutaoka Takuya1,Nakagami Gojiro23,Tanaka Shiho3,Yoshida Mikako4ORCID,Miura Yuka1,Sugama Junko5,Okada Shingo6,Ohta Hideki7,Sanada Hiromi23ORCID

Affiliation:

1. Department of Imaging Nursing Science, Graduate School of Medicine The University of Tokyo Tokyo Japan

2. Global Nursing Research Center, Graduate School of Medicine The University of Tokyo Tokyo Japan

3. Department of Gerontological Nursing / Wound Care Management, Graduate School of Medicine The University of Tokyo Tokyo Japan

4. Department of Women's Health Nursing & Midwifery Tohoku University Graduate School of Medicine Miyagi Japan

5. Institute for Frontier Science Initiative Kanazawa University Ishikawa Japan

6. Department of Surgery Kitamihara Clinic Hokkaido Japan

7. Medical Corporation Activities Supporting Medicine: Systematic Services (A.S.M.ss) Tochigi Japan

Funder

Grant-in-Aid for Scientific Research from the Japan Agency for Medical Research and Development.

Publisher

Wiley

Subject

Research and Theory

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