| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-07-23 |
| タイトル |
|
|
タイトル |
Automatic Identification of CTC in Fluorescence Microscopy Images Based on A Lightweight Hybrid Network Model |
|
言語 |
en |
| 著者 |
Nakamichi, Kazuki
Tsuji, Kouki
Yoneda, Kazue
神谷, 亨
|
| 著作権関連情報 |
|
|
権利情報Resource |
https://creativecommons.org/licenses/by/4.0/ |
|
権利情報 |
Copyright (c) 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). |
|
言語 |
en |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Circulating Tumor Cells (CTC) are expected to be a useful biomarker for cancer metastasis. CTC analysis can be used to assess cancer status and the therapeutic effects of anticancer drugs. Pathologists analyze blood samples from images taken with a fluorescence microscope. However, the number of CTCs in blood is very small, which is a time-consuming task. In this paper, we propose an automatic CTC identification method from fluorescence microscopy images. In the proposed method, we detect cell regions using a selective enhancement filter and blob analysis. Then, we identify the CTC using a SqueezeNet-based Convolutional Neural Network (CNN) model with Spatial Pyramid Pooling (SPP). We apply the proposed method to 5040 microscopy images and evaluate its effectiveness. The experimental results show that the proposed method has a true positive rate of 97.30%, a false positive rate of 2.069%, and an Area Under the Curve (AUC) of 0.991. |
|
言語 |
en |
| 書誌情報 |
en : Journal of Advances in Information Technology
巻 16,
号 5,
p. 648-654,
発行日 2025-05-09
|
| 出版社 |
|
|
出版者 |
Engineering and Technology Publishing |
|
言語 |
en |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Circulating Tumor Cells (CTC) |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
fluorescence microscopy images |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
SqueezeNet, Spatial Pyramid Pooling (SPP) |
| 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 |
journal article |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.12720/jait.16.5.648-654 |
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
1798-2340 |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/25_ja.html |
| 論文ID（連携） |
|
|
値 |
10461630 |
| 連携ID |
|
|
値 |
14702 |
10461630.pdf (1.8 MB)
