@techreport{oai:ipsj.ixsq.nii.ac.jp:00220282,
 author = {佐藤, 優希菜 and 松尾, 佳奈 and 小山, 恭史 and 山田, 英莉久 and 藤田, 浩二 and 杉浦, 裕太 and Yukina, Sato and Kana, Matsuo and Takafumi, Koyama and Eriku, Yamada and Koji, Fujita and Yuta, Sugiura},
 issue = {18},
 month = {Sep},
 note = {Carpal tunnel syndrome is a disease that causes numbness and motor dysfunction of the fingers due to compression of the median nerve. In this study, Mask R-CNN is used to estimate the area of the nerve in each frame of an ultrasound movie of a specific hand movement. Features of the estimated regions are extracted by image processing, and time series data such as convex area, perimeter, flattening, center-of-gravity coordinates and eccentricity are collected to estimate the presence and severity of carpal tunnel syndrome. Class classification based on group k-fold cross-validation using features obtained from 37 videos of patients and 22 videos of healthy subjects resulted in an accuracy rate of 66.1%, sensitivity of 82.9%, and specificity of 79.2%., Carpal tunnel syndrome is a disease that causes numbness and motor dysfunction of the fingers due to compression of the median nerve. In this study, Mask R-CNN is used to estimate the area of the nerve in each frame of an ultrasound movie of a specific hand movement. Features of the estimated regions are extracted by image processing, and time series data such as convex area, perimeter, flattening, center-of-gravity coordinates and eccentricity are collected to estimate the presence and severity of carpal tunnel syndrome. Class classification based on group k-fold cross-validation using features obtained from 37 videos of patients and 22 videos of healthy subjects resulted in an accuracy rate of 66.1%, sensitivity of 82.9%, and specificity of 79.2%.},
 title = {超音波動画内の正中神経セグメンテーションと手根管症候群推定},
 year = {2022}
}