| Presentation | 2017-03-21 [Short Paper] Bile duct segmentation from 3D CT image based on machine learning and probability map-assisted region growing Pengfei Chen, Hiroshi Tanaka, Masahiro Oda, Holger Roth, Tsuyoshi Igami, Masato Nagino, Kensaku Mori, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | 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. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | bile ductsegmentationsupport vector machineprobability mapregion growing |
| Paper # | BioX2016-55,PRMU2016-218 |
| Date of Issue | 2017-03-13 (BioX, PRMU) |
| Conference Information | |
| Committee | PRMU / BioX |
|---|---|
| Conference Date | 2017/3/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Eisaku Maeda(NTT) / Masakatsu Nishigaki(Shizuoka Univ.) |
| Vice Chair | Seiichi Uchida(Kyushu Univ.) / Hironobu Fujiyoshi(Chubu Univ.) / Akira Otsuka(AIST) / Hiroshi Takano(Toyama Pref. Univ.) |
| Secretary | Seiichi Uchida(Kyoto Univ.) / Hironobu Fujiyoshi(NTT) / Akira Otsuka(NEC) / Hiroshi Takano(AIST) |
| Assistant | Masaki Oonishi(AIST) / Takuya Funatomi(NAIST) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Takahiro Aoki(Fujitsu Labs.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics |
|---|---|
| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Bile duct segmentation from 3D CT image based on machine learning and probability map-assisted region growing |
| Sub Title (in English) | |
| Keyword(1) | bile ductsegmentationsupport vector machineprobability mapregion growing |
| 1st Author's Name | Pengfei Chen |
| 1st Author's Affiliation | Nogoya University(NU) |
| 2nd Author's Name | Hiroshi Tanaka |
| 2nd Author's Affiliation | Nogoya University(NU) |
| 3rd Author's Name | Masahiro Oda |
| 3rd Author's Affiliation | Nogoya University(NU) |
| 4th Author's Name | Holger Roth |
| 4th Author's Affiliation | Nogoya University(NU) |
| 5th Author's Name | Tsuyoshi Igami |
| 5th Author's Affiliation | Nogoya University(NU) |
| 6th Author's Name | Masato Nagino |
| 6th Author's Affiliation | Nogoya University(NU) |
| 7th Author's Name | Kensaku Mori |
| 7th Author's Affiliation | Nogoya University(NU) |
| Date | 2017-03-21 |
| Paper # | BioX2016-55,PRMU2016-218 |
| Volume (vol) | vol.116 |
| Number (no) | BioX-527,PRMU-528 |
| Page | pp.pp.135-136(BioX), pp.135-136(PRMU), |
| #Pages | 2 |
| Date of Issue | 2017-03-13 (BioX, PRMU) |