講演抄録/キーワード |
講演名 |
2017-03-21 10:00
[ショートペーパー]機械学習と尤度マップを利用した領域拡張法による3次元CT画像からの胆管セグメンテーション ○陳 鵬飛・田中 寛・小田昌宏・ロス ホルガー・伊神 剛・梛野正人・森 健策(名大) BioX2016-55 PRMU2016-218 |
抄録 |
(和) |
In this paper, we present our study on the bile duct segmentation from 3D CT volumes. In hepatobiliary surgery, it is required to know the spatial structure of the bile duct in advance. In our segmentation method, we introduce a region growing method assisted by probability map obtained from machine learning classification. At the first stage of our method, each voxel is classified as a voxel of the bile duct or not by the support vector machine. By using Platt's probabilistic outputs for support vector machines, we can acquire a probability map of the bile duct. At the second stage, we utilize the probability map to conduct a probability map-assisted region growing procedure to get the final segmentation result. In our experiments, the region growing procedure improved bile duct segmentation significantly (p=0.059). F-score increased from 0.55 to 0.58 by using the procedure. |
(英) |
In this paper, we present our study on the bile duct segmentation from 3D CT volumes. In hepatobiliary surgery, it is required to know the spatial structure of the bile duct in advance. In our segmentation method, we introduce a region growing method assisted by probability map obtained from machine learning classification. At the first stage of our method, each voxel is classified as a voxel of the bile duct or not by the support vector machine. By using Platt's probabilistic outputs for support vector machines, we can acquire a probability map of the bile duct. At the second stage, we utilize the probability map to conduct a probability map-assisted region growing procedure to get the final segmentation result. In our experiments, the region growing procedure improved bile duct segmentation significantly (p=0.059). F-score increased from 0.55 to 0.58 by using the procedure. |
キーワード |
(和) |
/ / / / / / / |
(英) |
bile duct / segmentation / support vector machine / probability map / region growing / / / |
文献情報 |
信学技報, vol. 116, no. 528, PRMU2016-218, pp. 135-136, 2017年3月. |
資料番号 |
PRMU2016-218 |
発行日 |
2017-03-13 (BioX, PRMU) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
BioX2016-55 PRMU2016-218 |
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