WEKO3
アイテム
Application of Artificial Intelligence to Metaphase Finder and Automated Chromosome Aberration Finder
https://repo.qst.go.jp/records/2002517
https://repo.qst.go.jp/records/2002517e6363c9e-5f92-4188-9a9f-1f085daf6318
| アイテムタイプ | 会議発表用資料 / Presentation(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2025-11-10 | |||||||
| タイトル | ||||||||
| タイトル | Application of Artificial Intelligence to Metaphase Finder and Automated Chromosome Aberration Finder | |||||||
| 言語 | en | |||||||
| 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_c94f | |||||||
| 資源タイプ | conference presentation | |||||||
| 著者 |
Furukawa Akira
× Furukawa Akira
|
|||||||
| 抄録 | ||||||||
| 内容記述 | Biological dosimetry is used to estimate individual absorbed radiation dose by quantifying an appropriate biological marker. The most popular gold-standard marker is the appearance of dicentric chromosomes in metaphase. The metaphase finder is a tool for automation of biological dosimetry that finds metaphase cells on glass slides. The author and a software company have designed a new system and are now preparing to produce the system commercially. This system was capable of identifying not only normal chromosomes but also PCC cells. The metaphase finder consists of an automated microscope, an auto-focus system, an X-Y stage, a camera, and a computer. To enhance the accuracy of the system, an artificial intelligence (AI) with deep learning was tested. The pre-selection of metaphases using mathematical morphology before the AI process was enabled the AI classification of true metaphases or not. The author reported that the prototype of AI implemented metaphase finder was combined with the microscope system by file sharing and image transfer program, and that the metaphase finder system’s accuracy was compared with previous non-AI system, using the same sample.The next project is to make an automated chromosome aberration finding and counting system with AI. We have already made an automated chromosome aberration finding and counting system with conventional image analysis and a fuzzy logic. For the first time, we tried to simply segment images of chromosomes from the metaphase cell image and apply them to the AI.This work was supported by JSPS KAKENHI Grant Number JP25K15446. | |||||||
| 会議概要（会議名, 開催地, 会期, 主催者等） | ||||||||
| 内容記述 | 日本放射線影響学会第68回大会／第6回アジア放射線研究会議（JRRS/ACRR2025）合同大会 | |||||||
| 発表年月日 | ||||||||
| 日付 | 2025-10-25 | |||||||
