| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
|
|
タイトル |
Content-based CT image retrieval system using deep learning: Preliminary assessment of its accuracy for classifying lesion patterns and retrieving similar cases among patients with diffuse lung diseases |
|
言語 |
en |
| 作成者 |
TERADA, Hiroaki
HIGAKI, Toru
TAKEBE, Hiroaki
BABA, Takayuki
MIYAZAKI, Nobuhiro
MORIWAKI, Yasutaka
SAKANE, Hiroaki
FUKUMOTO, Wataru
AWAI, Kazuo
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
|
|
権利情報 |
Copyright (c) 2022 Hiroshima University Medical Press |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
content-based image retrieval |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
diffuse lung disease |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
chest CT |
| 内容記述 |
|
|
内容記述 |
Practical image retrieval systems must fully use image databases. We investigated the accuracy of our content-based computer tomography (CT) image retrieval system (CB-CTIRS) for classifying lesion patterns and retrieving similar cases in patients with diffuse lung diseases. The study included 503 individuals, with 328 having diffuse lung disease and 175 having normal chest CT scans. Among the former, we randomly selected ten scans that revealed one of five specific patterns [consolidation, ground-glass opacity (GGO), emphysema, honeycombing, or micronodules: two cases each]. Two radiologists separated the squares into six categories (five abnormal patterns and one normal pattern) to create a reference standard. Subsequently, each square was entered into the CB-CTIRS, and the F-score used to classify squares was determined. Next, we selected 15 cases (three per pattern) among the 503 cases, which served as the query cases. Three other radiologists graded the similarity between the retrieved and query cases using a 5-point grading system, where grade 5 = similar in both the opacity pattern and distribution and 1 = different therein. The F-score was 0.71 for consolidation, 0.63 for GGO, 0.74 for emphysema, 0.61 for honeycombing, 0.15 for micronodules, and 0.67 for normal lung. All three radiologists assigned grade 4 or 5 to 67.7% of retrieved cases with consolidation, emphysema, or honeycombing, and grade 2 or 3 to 67.7% of the retrieved cases with GGO or micronodules. The retrieval accuracy of CB-CTIRS is satisfactory for consolidation, emphysema, and honeycombing but not for GGO or micronodules. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
Hiroshima University Medical Press |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
departmental bulletin paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 関連情報 |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.24811/hjms.71.1-2_9 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0018-2052 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2433-7668 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA00664312 |
| 開始ページ |
|
|
開始ページ |
9 |
| 書誌情報 |
Hiroshima Journal of Medical Sciences
Hiroshima Journal of Medical Sciences
巻 71,
号 1-2,
p. 9-22,
発行日 2022-06
|
| 旧ID |
52900 |
HiroshimaJMedSci_71_9.pdf (14.3 MB)
