| Presentation | 2001/5/11 Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images Masahito Aoyama, Qiang Li, Shigehiko Katsuragawa, Heber MacMahon, Naoki Asada, Kunio Doi, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A novel automated computerized scheme has been developed to assist radiologists for their distinction between benign and malignant solitary pulmonary nodules on chest images. Our database consisted of fifty-five chest radiographs (33 primary lung cancers and 22 benign nodules). The nodule was segmented automatically by analysis of contour lines of the gray-level distribution based on the polar-coordinate representation. Two clinical parameters (age and sex) and seventy-nine image features were determined from the outline or texture analysis for inside and outside regions of the segmented nodule. The performance of artificial neural network (ANN) and linear discriminant analysis (LDA) showed Az=0.872 and Az=0.886, respectively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | automated computerized scheme / difference image / polar-coordinate representation / image features / linear discriminant analysis / artificial neural network |
| Paper # | PRMU2001-11,MI2001-23 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2001/5/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images |
| Sub Title (in English) | |
| Keyword(1) | automated computerized scheme |
| Keyword(2) | difference image |
| Keyword(3) | polar-coordinate representation |
| Keyword(4) | image features |
| Keyword(5) | linear discriminant analysis |
| Keyword(6) | artificial neural network |
| 1st Author's Name | Masahito Aoyama |
| 1st Author's Affiliation | Department of Radiology, The University of Chicago:Department of Intelligent Systems, Hiroshima City University() |
| 2nd Author's Name | Qiang Li |
| 2nd Author's Affiliation | Department of Radiology, The University of Chicago |
| 3rd Author's Name | Shigehiko Katsuragawa |
| 3rd Author's Affiliation | Department of Radiology, The University of Chicago |
| 4th Author's Name | Heber MacMahon |
| 4th Author's Affiliation | Department of Radiology, The University of Chicago |
| 5th Author's Name | Naoki Asada |
| 5th Author's Affiliation | Department of Intelligent Systems, Hiroshima City University |
| 6th Author's Name | Kunio Doi |
| 6th Author's Affiliation | Department of Radiology, The University of Chicago |
| Date | 2001/5/11 |
| Paper # | PRMU2001-11,MI2001-23 |
| Volume (vol) | vol.101 |
| Number (no) | 58 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |