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
アクセス数 : 83 件
ダウンロード数 : 80 件
今月のアクセス数 : 3 件
今月のダウンロード数 : 6 件
この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00054257
File |
k9091_1.pdf
165 KB
種類 :
abstract
|
File |
k9091_2.pdf
147 KB
種類 :
abstract
|
File |
k9091_3.pdf
14.3 MB
種類 :
fulltext
|
Title ( eng ) |
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
|
Title ( jpn ) |
深層学習を用いたCT画像検索システムによる、びまん性肺疾患患者の病変性状分類および類似症例検索精度の予備評価
|
Creator |
Terada Hiroaki
|
Language |
eng
|
Resource Type | doctoral thesis |
Rights |
Copyright © 2022 Hiroshima University Medical Press
|
Access Rights | open access |
Source Identifier |
Hiroshima J. Med. Sci., Vol. 71, No. 1-2, 9-22, June, 2022
[DOI] https://doi.org/10.24811/hjms.71.1-2_9
|
Dissertation Number | 甲第9091号 |
Degree Name | |
Date of Granted | 2023-02-24 |
Degree Grantors |
広島大学
Hiroshima University
|