Development of Image Quality Assurance Support System Using Image Recognition Technology in Radiography in Lacked Images of Chest and Abdomen
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- Shibuya Toru
- Department of Radiology, Showa University Hospital
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- Kato Kyouichi
- Department of Radiology, Showa University Fujigaoka Hospital
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- Eshima Hidekazu
- Image Technological Team for Infocom Ltd., Healthcare Business Headquarters Radiation System Department Medicine
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- Sumi Shinichirou
- Department of Radiology, Showa University Toyosu Hospital
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- Kubo Tadashi
- Department of Radiology, Showa University Hospital
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- Ishida Hideki
- Department of Radiology, Showa University Dental Hospital
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- Nakazawa Yasuo
- Department of Radiology, Showa University
Bibliographic Information
- Other Title
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- 一般撮影における胸腹部欠像画像の検出を目的とした検像支援システムの開発
- イッパン サツエイ ニ オケル キョウ フクブ ケツゾウ ガゾウ ノ ケンシュツ オ モクテキ ト シタ ケンゾウ シエン システム ノ カイハツ
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Abstract
In order to provide a precise radiography for diagnosis, it is required that we avoid radiography with defects by having enough evaluation. Conventionally, evaluation was performed only by observation of a radiological technologist (RT). The evaluation support system was developed for providing a high quality assurance without depending on RT observation only. The evaluation support system, called as the Image Quality Assurance Support System (IQASS), is characterized in that “image recognition technology” for the purpose of diagnostic radiography of chest and abdomen areas. The technique of the system used in this study. Of the 259 samples of posterior-anterior (AP) chest, lateral chest, and upright abdominal x-rays, the sensitivity and specificity was 93.1% and 91.8% in the chest AP, 93.3% and 93.6% in the chest lateral, and 95.0% and 93.8% in the upright abdominal x-rays. In the light of these results, it is suggested that AIQAS could be applied to practical usage for the RT.
Journal
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- Japanese Journal of Radiological Technology
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Japanese Journal of Radiological Technology 68 (4), 422-431, 2012
Japanese Society of Radiological Technology
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Details 詳細情報について
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- CRID
- 1390282681338279424
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- NII Article ID
- 10030139520
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- NII Book ID
- AN00197784
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- COI
- 1:STN:280:DC%2BC38rmtl2lsg%3D%3D
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- ISSN
- 18814883
- 03694305
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- NDL BIB ID
- 023760746
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- PubMed
- 22516594
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- PubMed
- CiNii Articles
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- Abstract License Flag
- Disallowed