| Paper Abstract and Keywords |
| Presentation |
2006-01-27 17:00
Study of classifiers for computer-aided detection system of liver lesions from two phase 3-D CT images
Takahiro Kawamura, Akinobu Shimizu, Hidefumi Kobatake, Mitsutaka Nemoto (TUAT) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper proposes a method for automated extraction of tumor regions based on information fusion of two phases of three dimensional CT images.
At first it extracts the liver region using two phases and enhances tumor regions in the liver using a three dimensional adaptive convergence index filter.
Then it makes the fusion images by computing the sum of gray values in the enhanced images, and detects local maximum points and extracts candidates regions by a region growing method on the tumor likelihood images.
In the next step, several features about the candidates are measured and the system decides whether it corresponds to true tumors or not using classifiers.
In the experiment, three kinds of classifiers of Mahalanobis distance, support vector machine, and AdaBoosting are compared.
We applied the proposed system to three dimensional abdominal CT images from 26 patients obtained with multi-detector row CT scanners and confirmed that tumor detection rate was 100% with 0.07 false positives per case. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Computer Aided Diagnosis / Abdominal CT Images / Mahalanobis Distance / Support Vector Machine / AdaBoosting / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 105, no. 579, MI2005-103, pp. 147-150, Jan. 2006. |
| Paper # |
MI2005-103 |
| Date of Issue |
2006-01-20 (MI) |
| ISSN |
Print edition: ISSN 0913-5685 |
| Download PDF |
|
| Conference Information |
| Committee |
MI |
| Conference Date |
2006-01-27 - 2006-01-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Miyakojimashi-Chuo-Kouminkan |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
MI |
| Conference Code |
2006-01-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Study of classifiers for computer-aided detection system of liver lesions from two phase 3-D CT images |
| Sub Title (in English) |
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| Keyword(1) |
Computer Aided Diagnosis |
| Keyword(2) |
Abdominal CT Images |
| Keyword(3) |
Mahalanobis Distance |
| Keyword(4) |
Support Vector Machine |
| Keyword(5) |
AdaBoosting |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Takahiro Kawamura |
| 1st Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name |
Akinobu Shimizu |
| 2nd Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
| 3rd Author's Name |
Hidefumi Kobatake |
| 3rd Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
| 4th Author's Name |
Mitsutaka Nemoto |
| 4th Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
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| Speaker |
Author-1 |
| Date Time |
2006-01-27 17:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
MI |
| Paper # |
MI2005-103 |
| Volume (vol) |
vol.105 |
| Number (no) |
no.579 |
| Page |
pp.147-150 |
| #Pages |
4 |
| Date of Issue |
2006-01-20 (MI) |