| Item type |
文献 / Documents(1) |
| 公開日 |
2021-04-22 |
| アクセス権 |
|
|
アクセス権 |
open access |
| 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 |
journal article |
| 出版社版DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.7717/peerj.6900 |
|
|
言語 |
ja |
|
|
関連名称 |
10.7717/peerj.6900 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images |
|
言語 |
en |
| 著者 |
マスモト, ヒロキ
タブチ, ヒトシ
ナカクラ, シュンスケ
オオスギ, ヒデハル
エンノ, ヒロキ
イシトビ, ナオフミ
オオスギ, エイコ
三田村, 佳典
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Evaluating the discrimination ability of a deep convolution neural network for ultrawide-field pseudocolor imaging and ultrawide-field autofluorescence of retinitis pigmentosa. In total, the 373 ultrawide-field pseudocolor and ultrawide-field autofluorescence images (150, retinitis pigmentosa; 223, normal) obtained from the patients who visited the Department of Ophthalmology, Tsukazaki Hospital were used. Training with a convolutional neural network on these learning data objects was conducted. We examined the K-fold cross validation (K = 5). The mean area under the curve of the ultrawide-field pseudocolor group was 0.998 (95% confidence interval (CI) [0.9953–1.0]) and that of the ultrawide-field autofluorescence group was 1.0 (95% CI [0.9994–1.0]). The sensitivity and specificity of the ultrawide-field pseudocolor group were 99.3% (95% CI [96.3%–100.0%]) and 99.1% (95% CI [96.1%–99.7%]), and those of the ultrawide-field autofluorescence group were 100% (95% CI [97.6%–100%]) and 99.5% (95% CI [96.8%–99.9%]), respectively. Heatmaps were in accordance with the clinician’s observations. Using the proposed deep neural network model, retinitis pigmentosa can be distinguished from healthy eyes with high sensitivity and specificity on ultrawide-field pseudocolor and ultrawide-field autofluorescence images. |
|
言語 |
en |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Neural network |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Retinitis pigmentosa |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Screening system |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Ultrawide-filed pseudocolor imaging |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Ultrawide-field autofluorescence |
| 書誌情報 |
en : PeerJ
巻 7,
p. e6900,
発行日 2019-05-07
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
21678359 |
| 権利情報 |
|
|
言語 |
en |
|
権利情報 |
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
| EID |
|
|
識別子 |
361174 |
|
識別子タイプ |
URI |
| 言語 |
|
|
言語 |
eng |
peerj_7_e6900.pdf (4.02 MB)
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