Estimation of Handling Flexible Cystoscope Using Neural Network -A Vessel Enhancement and Extraction of Features Based on Changes of Handling the Cystoscope-

DOI Web Site Web Site 2 Citations 16 References
  • Nakamura Munehiro
    Graduate School of Natural Science and Technology, Kanazawa University
  • Kanaya Jiro
    Graduate School of Medical Science, Kanazawa University
  • Kimura Haruhiko
    Graduate School of Natural Science and Technology, Kanazawa University

Bibliographic Information

Other Title
  • ニューラルネットワークを用いた軟性膀胱鏡操作の推定　　―毛細血管の強調と膀胱鏡操作の変化に伴う特徴量の導入―
  • ニューラル ネットワーク オ モチイタ ナンセイ ボウコウキョウ ソウサ ノ スイテイ モウサイケッカン ノ キョウチョウ ト ボウコウキョウ ソウサ ノ ヘンカ ニ トモナウ トクチョウリョウ ノ ドウニュウ
  • —A Vessel Enhancement and Extraction of Features Based on Changes of Handling the Cystoscope—
  • —毛細血管の強調と膀胱鏡操作の変化に伴う特徴量の導入—

Search this article

Abstract

This paper presents a system for estimating handling of a flexible cystoscope in bladder checkup. In the checkup, all the seven parts of the bladder wall can be observed with a flexible cystoscope. However, since the shape and color of the parts are depended on participants and five of the parts have same shape and color, it is difficult to grasp the location that the cystoscope is projecting. For the reason, it is often happened that urologists can not confirm that all the parts were observed. Since urologists conduct the checkup by handling the cystoscope and watching movement of the location that the cystoscope is projecting, reproducing the checkup by a computer would recognize oversights. And then, the proposed method extracts movement of the location and estimates the handling by the neural network. The experimental results of the estimations for 9 videos recorded in the checkup have shown a possibility of reproducing the checkup.

Journal

Citations (2)*help

See more

References(16)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top