2021 13th International Conference on Knowledge and Systems Engineering (KSE)最新文献

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Towards expert-guided elucidation of cyber attacks through interactive inductive logic programming 通过交互式归纳逻辑编程实现专家指导的网络攻击解释
2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-11-10 DOI: 10.1109/KSE53942.2021.9648769
O. Ray, Steve Moyle
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引用次数: 4
Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation 全自动机器学习管道超声心动图分割
2021 13th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2021-07-18 DOI: 10.1109/KSE53942.2021.9648607
Hang Duong Thi Thuy, T. Minh, Phi Nguyen Van, Long Tran Quoc
{"title":"Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation","authors":"Hang Duong Thi Thuy, T. Minh, Phi Nguyen Van, Long Tran Quoc","doi":"10.1109/KSE53942.2021.9648607","DOIUrl":"https://doi.org/10.1109/KSE53942.2021.9648607","url":null,"abstract":"Nowadays, cardiac diagnosis largely depends on left ventricular function assessment. With the help of the segmentation deep learning model, the assessment of the left ventricle becomes more accessible and accurate. However, deep learning technique still faces two main obstacles: the difficulty in acquiring sufficient training data and time consuming in developing quality models. In the ordinary data acquisition process, the dataset was selected randomly from a large pool of unlabeled images for labeling, leading to massive labor time to annotate those images. Besides that, hand-designed model development is strenuous and also costly. This paper introduces a pipeline that relies on Active Learning to ease the labeling work and utilizes Neural Architecture Search's idea to design the adequate deep learning model automatically. We called this Fully automated machine learning pipeline for echocardiogram segmentation. The experiment results show that our method obtained the same IOU accuracy with only two-fifths of the original training dataset, and the searched model got the same accuracy as the hand-designed model given the same training dataset.","PeriodicalId":130986,"journal":{"name":"2021 13th International Conference on Knowledge and Systems Engineering (KSE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124699494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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