Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network

Jeong Eun Lee; Hyeon-Ju Jeon; O‐Joun Lee; Hae Gyun Lim

doi:10.1016/j.ultras.2023.107167

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Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network

Jeong Eun Lee Hyeon-Ju Jeon O‐Joun Lee Hae Gyun Lim

Year: 2023 Journal: Ultrasonics Vol: 136 Pages: 107167-107167 Publisher: Elsevier BV

DOI: 10.1016/j.ultras.2023.107167

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Keywords:

Convolutional neural network Spectrogram Glycated hemoglobin Ultrasound Diabetes mellitus SIGNAL (programming language) Biomedical engineering Computer science Medicine High frequency ultrasound Artificial intelligence Transducer Radiology Acoustics Type 2 diabetes Endocrinology Physics

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Spectroscopy Techniques in Biomedical and Chemical Research

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

Non-Invasive Vital Sign Monitoring

Physical Sciences → Engineering → Biomedical Engineering

Microfluidic and Capillary Electrophoresis Applications

Physical Sciences → Engineering → Biomedical Engineering

Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network

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