| Item type |
SIG Technical Reports(1) |
| 公開日 |
2022-09-29 |
| タイトル |
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タイトル |
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 |
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言語 |
en |
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タイトル |
Median Nerve Segmentation and Carpal Tunnel Syndrome Estimation in Ultrasound Movies |
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言語 |
jpn |
| キーワード |
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主題Scheme |
Other |
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主題 |
計測・認証1 |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
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慶應義塾大学 |
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慶應義塾大学 |
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東京医科歯科大学 |
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東京医科歯科大学 |
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東京医科歯科大学 |
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慶應義塾大学 |
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en |
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Keio University |
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en |
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Keio University |
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en |
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Tokyo Medical And Dental University |
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en |
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Tokyo Medical And Dental University |
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en |
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Tokyo Medical And Dental University |
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en |
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Keio University |
| 著者名 |
佐藤, 優希菜
松尾, 佳奈
小山, 恭史
山田, 英莉久
藤田, 浩二
杉浦, 裕太
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| 著者名(英) |
Yukina, Sato
Kana, Matsuo
Takafumi, Koyama
Eriku, Yamada
Koji, Fujita
Yuta, Sugiura
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
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%. |
| 論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
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%. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA12049625 |
| 書誌情報 |
研究報告エンタテインメントコンピューティング（EC）
巻 2022-EC-65,
号 18,
p. 1-4,
発行日 2022-09-29
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8914 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-EC22065018.pdf (1.5 MB)
