Development of radiomics and machine learning model for predicting occult cervical lymph node metastasis in patients with tongue cancer
アクセス数 : 448 件
ダウンロード数 : 294 件
今月のアクセス数 : 8 件
今月のダウンロード数 : 7 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/00052803
File |
k8947_1.pdf
175 KB
種類 :
abstract
|
File |
k8947_2.pdf
160 KB
種類 :
abstract
|
File |
k8947_3.pdf
2.34 MB
種類 :
fulltext
エンバーゴ :
2022-12-26
|
Title ( eng ) |
Development of radiomics and machine learning model for predicting occult cervical lymph node metastasis in patients with tongue cancer
|
Title ( jpn ) |
Radiomicsと機械学習を用いた舌癌局所治療後の後発リンパ節転移予測モデルの開発
|
Creator |
Kubo Katsumaro
|
Language |
eng
|
Resource Type | doctoral thesis |
Rights |
©2021 Elsevier Inc. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
This is not the published version. Please cite only the published version. この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。
|
Access Rights | open access |
Source Identifier |
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, Volume 134, Issue 1, July 2022, Pages 93-101.
[DOI] https://doi.org/10.1016/j.oooo.2021.12.122
|
Dissertation Number | 甲第8947号 |
Degree Name | |
Date of Granted | 2022-03-23 |
Degree Grantors |
広島大学
|
Remark | The full-text file will be made open to the public on 26 DEC 2022 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. |