適応的しきい値制御ブースティングを用いた分布の重なりに頑強な精子検出

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2019/12/01

タイトル(英語): Sperm Detection with Robustness to Overlap of Distributions by using Adaptive Thresholded Boosting

著者名: 佐々木　勇人（横浜国立大学大学院工学府），山本　みずき（横浜市立大学附属市民総合医療センター），竹島　徹平（横浜市立大学附属市民総合医療センター），湯村　寧（横浜市立大学附属市民総合医療センター），濱上　知樹（横浜国立大学大学院工学府）

著者名(英語): Hayato Sasaki (Graduate School of Engineering, Yokohama National University), Mizuki Yamamoto (Yokohama City University Medical Center), Teppei Takeshima (Yokohama City University Medical Center), Yasushi Yumura (Yokohama City University Medical Center), Tomoki Hamagami (Graduate School of Engineering, Yokohama National University)

キーワード: 物体検出，コスト考慮型学習，ブースティング，生殖補助医療，精巣内精子採取術　　object detection，cost-sensitive learning，boosting，assisted reproductive technology，testicular sperm extraction

要約(英語): Automatic sperm detection is in high demand for supporting Testicular Sperm Extraction (TESE). On the other hand, detection of sperms in samples of TESE is difficult because there are a lot of germ cells resembling sperms. This paper realizes automatic sperm detection for TESE by using Adaptive Thresholded Boosting (ATBoost) which is robust to overlap of feature distributions between positive samples and negative samples. In this paper, we evaluated our sperm detection method in two stages from the view point of robustness to the overlap. First, we quantitatively evaluated the overlap of the feature distributions in TESE in the metric of Bayes error rate. Second, we evaluated robustness of our sperm detection method as for the overlap. These two results show that our sperm detection method is very effective for TESE.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.12 （2019） 特集：電気・電子・情報関係学会東海支部連合大会

本誌掲載ページ: 1461-1467 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/139/12/139_1461/_article/-char/ja/