Detecting a fetus in ultrasound images using grad CAM and locating the fetus in the uterus

Genta Ishikawa, Rong Xu, Jun Ohya, Hiroyasu Iwata

研究成果: Conference contribution

抄録

In this paper, we propose an automatic method for estimating fetal position based on classification and detection of different fetal parts in ultrasound images. Fine tuning is performed in the ultrasound images to be used for fetal examination using CNN, and classification of four classes "head", "body", "leg" and "other" is realized. Based on the obtained learning result, binarization that thresholds the gradient of the feature obtained by Grad Cam is performed in the image so that a bounding box of the region of interest with large gradient is extracted. The center of the bounding box is obtained from each frame so that the trajectory of the centroids is obtained; the position of the fetus is obtained as the trajectory. Experiments using 2000 images were conducted using a fetal phantom. Each recall ratiso of the four class is 99.6% for head, 99.4% for body, 99.8% for legs, 72.6% for others, respectively. The trajectories obtained from the fetus present in “left”, “center”, “right” in the images show the above-mentioned geometrical relationship. These results indicate that the estimated fetal position coincides with the actual position very well, which can be used as the first step for automatic fetal examination by robotic systems.

本文言語English
ホスト出版物のタイトルICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods
編集者Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
出版社SciTePress
ページ181-189
ページ数9
ISBN(電子版)9789897583513
DOI
出版ステータスPublished - 2019
イベント8th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2019 - Prague, Czech Republic
継続期間: 2019 2月 192019 2月 21

出版物シリーズ

名前ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods

Conference

Conference8th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2019
国/地域Czech Republic
CityPrague
Period19/2/1919/2/21

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

フィンガープリント

「Detecting a fetus in ultrasound images using grad CAM and locating the fetus in the uterus」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル