利用深度学习方法对转移性乳腺癌细胞进行分类

Seohyun Lee, Hyuno Kim, H. Higuchi, M. Ishikawa
{"title":"利用深度学习方法对转移性乳腺癌细胞进行分类","authors":"Seohyun Lee, Hyuno Kim, H. Higuchi, M. Ishikawa","doi":"10.1109/ICAIIC51459.2021.9415245","DOIUrl":null,"url":null,"abstract":"Metastasis of cancer cells is one of the major reasons for cancer mortality, as an indicator of the stage of cancer. Since the degree of metastasis is often dependent upon the cancer cell mobility which is closely related to the shape of the cell, analyzing the cell shape is an essential factor to determine whether a cellular sample develops into a malignant tumor. In this paper, we attempted to classify two types of breast cancer cells based on their cell shapes, using a deep-learning approach.","PeriodicalId":432977,"journal":{"name":"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Classification of Metastatic Breast Cancer Cell using Deep Learning Approach\",\"authors\":\"Seohyun Lee, Hyuno Kim, H. Higuchi, M. Ishikawa\",\"doi\":\"10.1109/ICAIIC51459.2021.9415245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Metastasis of cancer cells is one of the major reasons for cancer mortality, as an indicator of the stage of cancer. Since the degree of metastasis is often dependent upon the cancer cell mobility which is closely related to the shape of the cell, analyzing the cell shape is an essential factor to determine whether a cellular sample develops into a malignant tumor. In this paper, we attempted to classify two types of breast cancer cells based on their cell shapes, using a deep-learning approach.\",\"PeriodicalId\":432977,\"journal\":{\"name\":\"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIIC51459.2021.9415245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIC51459.2021.9415245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

癌细胞的转移是癌症死亡的主要原因之一,是癌症分期的一个指标。由于癌细胞的转移程度往往取决于癌细胞的移动性,而癌细胞的移动性又与细胞的形状密切相关,因此分析细胞的形状是判断细胞样本是否发展为恶性肿瘤的重要因素。在本文中,我们尝试使用深度学习方法根据细胞形状对两种类型的乳腺癌细胞进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of Metastatic Breast Cancer Cell using Deep Learning Approach
Metastasis of cancer cells is one of the major reasons for cancer mortality, as an indicator of the stage of cancer. Since the degree of metastasis is often dependent upon the cancer cell mobility which is closely related to the shape of the cell, analyzing the cell shape is an essential factor to determine whether a cellular sample develops into a malignant tumor. In this paper, we attempted to classify two types of breast cancer cells based on their cell shapes, using a deep-learning approach.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信