自动斑马鱼表型模式识别:6年前和现在。

IF 1.4 4区 生物学 Q4 DEVELOPMENTAL BIOLOGY
Zebrafish Pub Date : 2022-12-01 DOI:10.1089/zeb.2022.0027
Mark Schutera, Luca Rettenberger, Markus Reischl
{"title":"自动斑马鱼表型模式识别:6年前和现在。","authors":"Mark Schutera,&nbsp;Luca Rettenberger,&nbsp;Markus Reischl","doi":"10.1089/zeb.2022.0027","DOIUrl":null,"url":null,"abstract":"<p><p>The article assesses the developments in automated phenotype pattern recognition: Potential spikes in classification performance, even when facing the common small-scale biomedical data set, and as a reader, you will find out about changes in the development effort and complexity for researchers and practitioners. After reading, you will be aware of the benefits and unreasonable effectiveness and ease of use of an automated end-to-end deep learning pipeline for classification tasks of biomedical perception systems.</p>","PeriodicalId":23872,"journal":{"name":"Zebrafish","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and Now.\",\"authors\":\"Mark Schutera,&nbsp;Luca Rettenberger,&nbsp;Markus Reischl\",\"doi\":\"10.1089/zeb.2022.0027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The article assesses the developments in automated phenotype pattern recognition: Potential spikes in classification performance, even when facing the common small-scale biomedical data set, and as a reader, you will find out about changes in the development effort and complexity for researchers and practitioners. After reading, you will be aware of the benefits and unreasonable effectiveness and ease of use of an automated end-to-end deep learning pipeline for classification tasks of biomedical perception systems.</p>\",\"PeriodicalId\":23872,\"journal\":{\"name\":\"Zebrafish\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zebrafish\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1089/zeb.2022.0027\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"DEVELOPMENTAL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zebrafish","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1089/zeb.2022.0027","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"DEVELOPMENTAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

本文评估了自动表型模式识别的发展:分类性能的潜在峰值,即使面对常见的小规模生物医学数据集,作为读者,您将发现研究人员和实践者在开发工作和复杂性方面的变化。阅读后,您将意识到用于生物医学感知系统分类任务的自动化端到端深度学习管道的好处和不合理的有效性和易用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and Now.

The article assesses the developments in automated phenotype pattern recognition: Potential spikes in classification performance, even when facing the common small-scale biomedical data set, and as a reader, you will find out about changes in the development effort and complexity for researchers and practitioners. After reading, you will be aware of the benefits and unreasonable effectiveness and ease of use of an automated end-to-end deep learning pipeline for classification tasks of biomedical perception systems.

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
Zebrafish
Zebrafish DEVELOPMENTAL BIOLOGY-ZOOLOGY
CiteScore
3.60
自引率
5.00%
发文量
29
审稿时长
3 months
期刊介绍: Zebrafish is the only peer-reviewed journal dedicated to the central role of zebrafish and other aquarium species as models for the study of vertebrate development, evolution, toxicology, and human disease. Due to its prolific reproduction and the external development of the transparent embryo, the zebrafish is a prime model for genetic and developmental studies. While genetically more distant from humans, the vertebrate zebrafish nevertheless has comparable organs and tissues, such as heart, kidney, pancreas, bones, and cartilage. Zebrafish introduced the new section TechnoFish, which highlights these innovations for the general zebrafish community. TechnoFish features two types of articles: TechnoFish Previews: Important, generally useful technical advances or valuable transgenic lines TechnoFish Methods: Brief descriptions of new methods, reagents, or transgenic lines that will be of widespread use in the zebrafish community Zebrafish coverage includes: Comparative genomics and evolution Molecular/cellular mechanisms of cell growth Genetic analysis of embryogenesis and disease Toxicological and infectious disease models Models for neurological disorders and aging New methods, tools, and experimental approaches Zebrafish also includes research with other aquarium species such as medaka, Fugu, and Xiphophorus.
×
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:481959085
Book学术官方微信