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Annotations of Lung Abnormalities in Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases. 肺部疾病计算机辅助筛查深圳胸片数据集肺异常注释
IF 2.6
Data Pub Date : 2022-07-01 Epub Date: 2022-07-13 DOI: 10.3390/data7070095
Feng Yang, Pu-Xuan Lu, Min Deng, Yì Xiáng J Wáng, Sivaramakrishnan Rajaraman, Zhiyun Xue, Les R Folio, Sameer K Antani, Stefan Jaeger
{"title":"Annotations of Lung Abnormalities in Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases.","authors":"Feng Yang,&nbsp;Pu-Xuan Lu,&nbsp;Min Deng,&nbsp;Yì Xiáng J Wáng,&nbsp;Sivaramakrishnan Rajaraman,&nbsp;Zhiyun Xue,&nbsp;Les R Folio,&nbsp;Sameer K Antani,&nbsp;Stefan Jaeger","doi":"10.3390/data7070095","DOIUrl":"https://doi.org/10.3390/data7070095","url":null,"abstract":"<p><p>Developments in deep learning techniques have led to significant advances in automated abnormality detection in radiological images and paved the way for their potential use in computer-aided diagnosis (CAD) systems. However, the development of CAD systems for pulmonary tuberculosis (TB) diagnosis is hampered by the lack of training data that is of good visual and diagnostic quality, of sufficient size, variety, and, where relevant, containing fine region annotations. This study presents a collection of annotations/segmentations of pulmonary radiological manifestations that are consistent with TB in the publicly available and widely used Shenzhen chest X-ray (CXR) dataset made available by the U.S. National Library of Medicine and obtained via a research collaboration with No. 3. People's Hospital Shenzhen, China. The goal of releasing these annotations is to advance the state-of-the-art for image segmentation methods toward improving the performance of fine-grained segmentation of TB-consistent findings in digital Chest X-ray images. The annotation collection comprises the following: 1) annotation files in JSON (JavaScript Object Notation) format that indicate locations and shapes of 19 lung pattern abnormalities for 336 TB patients; 2) mask files saved in PNG format for each abnormality per TB patient; 3) a CSV (comma-separated values) file that summarizes lung abnormality types and numbers per TB patient. To the best of our knowledge, this is the first collection of pixel-level annotations of TB-consistent findings in CXRs. <b>Dataset:</b> https://data.lhncbc.nlm.nih.gov/public/Tuberculosis-Chest-X-ray-Datasets/Shenzhen-Hospital-CXR-Set/Annotations/index.html.</p>","PeriodicalId":36824,"journal":{"name":"Data","volume":"7 7","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40686802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Longitudinal RNA Sequencing of Skin and DRG Neurons in Mice with Paclitaxel-Induced Peripheral Neuropathy. 紫杉醇诱发周围神经病变小鼠皮肤和DRG神经元的纵向RNA测序
IF 2.6
Data Pub Date : 2022-06-01 Epub Date: 2022-05-30 DOI: 10.3390/data7060072
Anthony M Cirrincione, Cassandra A Reimonn, Benjamin J Harrison, Sandra Rieger
{"title":"Longitudinal RNA Sequencing of Skin and DRG Neurons in Mice with Paclitaxel-Induced Peripheral Neuropathy.","authors":"Anthony M Cirrincione, Cassandra A Reimonn, Benjamin J Harrison, Sandra Rieger","doi":"10.3390/data7060072","DOIUrl":"10.3390/data7060072","url":null,"abstract":"<p><p>Paclitaxel-induced peripheral neuropathy is a condition of nerve degeneration induced by chemotherapy, which afflicts up to 70% of treated patients. Therapeutic interventions are unavailable due to an incomplete understanding of the underlying mechanisms. We previously discovered that major physiological changes in the skin underlie paclitaxel-induced peripheral neuropathy in zebrafish and rodents. The precise molecular mechanisms are only incompletely understood. For instance, paclitaxel induces the upregulation of MMP-13, which, when inhibited, prevents axon degeneration. To better understand other gene regulatory changes induced by paclitaxel, we induced peripheral neuropathy in mice following intraperitoneal injection either with vehicle or paclitaxel every other day four times total. Skin and dorsal root ganglion neurons were collected based on distinct behavioural responses categorised as \"pain onset\" (d4), \"maximal pain\" (d7), \"beginning of pain resolution\" (d11), and \"recovery phase\" (d23) for comparative longitudinal RNA sequencing. The generated datasets validate previous discoveries and reveal additional gene expression changes that warrant further validation with the goal to aid in the development of drugs that prevent or reverse paclitaxel-induced peripheral neuropathy.</p>","PeriodicalId":36824,"journal":{"name":"Data","volume":"7 6","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564132/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33544141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Database Systems and Information Management: Trends and a Vision 数据库系统与信息管理:趋势与展望
IF 2.6
Data Pub Date : 2021-12-15 DOI: 10.1109/bigdata52589.2021.9671704
V. Markl
{"title":"Database Systems and Information Management: Trends and a Vision","authors":"V. Markl","doi":"10.1109/bigdata52589.2021.9671704","DOIUrl":"https://doi.org/10.1109/bigdata52589.2021.9671704","url":null,"abstract":"","PeriodicalId":36824,"journal":{"name":"Data","volume":"1 1","pages":"11-12"},"PeriodicalIF":2.6,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48010212","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
Toward a Multimodal Multitask Model for Neurodegenerative Diseases Diagnosis and Progression Prediction 神经退行性疾病诊断与进展预测的多模态多任务模型
IF 2.6
Data Pub Date : 2021-10-10 DOI: 10.5220/0010600003220328
Sofia Lahrichi, M. Rhanoui, M. Mikram, B. E. Asri
{"title":"Toward a Multimodal Multitask Model for Neurodegenerative Diseases Diagnosis and Progression Prediction","authors":"Sofia Lahrichi, M. Rhanoui, M. Mikram, B. E. Asri","doi":"10.5220/0010600003220328","DOIUrl":"https://doi.org/10.5220/0010600003220328","url":null,"abstract":"Recent studies on modelling the progression of Alzheimer's disease use a single modality for their predictions while ignoring the time dimension. However, the nature of patient data is heterogeneous and time dependent which requires models that value these factors in order to achieve a reliable diagnosis, as well as making it possible to track and detect changes in the progression of patients' condition at an early stage. This article overviews various categories of models used for Alzheimer's disease prediction with their respective learning methods, by establishing a comparative study of early prediction and detection Alzheimer's disease progression. Finally, a robust and precise detection model is proposed.","PeriodicalId":36824,"journal":{"name":"Data","volume":"1 1","pages":"322-328"},"PeriodicalIF":2.6,"publicationDate":"2021-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49258222","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
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP) 使用流程挖掘消除操作摩擦:生产互联网(IoP)带来的挑战
IF 2.6
Data Pub Date : 2021-07-28 DOI: 10.1007/978-3-030-83014-4_1
Wil M.P. van der Aalst, T. Brockhoff, A. F. Ghahfarokhi, M. Pourbafrani, M. S. Uysal, S. V. Zelst
{"title":"Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)","authors":"Wil M.P. van der Aalst, T. Brockhoff, A. F. Ghahfarokhi, M. Pourbafrani, M. S. Uysal, S. V. Zelst","doi":"10.1007/978-3-030-83014-4_1","DOIUrl":"https://doi.org/10.1007/978-3-030-83014-4_1","url":null,"abstract":"","PeriodicalId":36824,"journal":{"name":"Data","volume":"1 1","pages":"1-31"},"PeriodicalIF":2.6,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47546089","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: 7
Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021, Online Streaming, July 6-8, 2021 第十届数据科学、技术与应用国际会议论文集,数据2021,在线流媒体,2021年7月6日至8日
IF 2.6
Data Pub Date : 2021-07-06 DOI: 10.5220/0000148700002993
{"title":"Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021, Online Streaming, July 6-8, 2021","authors":"","doi":"10.5220/0000148700002993","DOIUrl":"https://doi.org/10.5220/0000148700002993","url":null,"abstract":"","PeriodicalId":36824,"journal":{"name":"Data","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46905796","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
A Disease Control-Oriented Land Cover Land Use Map for Myanmar. 缅甸以疾病控制为导向的土地覆盖物土地利用图。
IF 2.6
Data Pub Date : 2021-06-01 Epub Date: 2021-06-13 DOI: 10.3390/data6060063
Dong Chen, Varada Shevade, Allison Baer, Jiaying He, Amanda Hoffman-Hall, Qing Ying, Yao Li, Tatiana V Loboda
{"title":"A Disease Control-Oriented Land Cover Land Use Map for Myanmar.","authors":"Dong Chen, Varada Shevade, Allison Baer, Jiaying He, Amanda Hoffman-Hall, Qing Ying, Yao Li, Tatiana V Loboda","doi":"10.3390/data6060063","DOIUrl":"10.3390/data6060063","url":null,"abstract":"<p><p>Malaria is a serious infectious disease that leads to massive casualties globally. Myanmar is a key battleground for the global fight against malaria because it is where the emergence of drug-resistant malaria parasites has been documented. Controlling the spread of malaria in Myanmar thus carries global significance, because the failure to do so would lead to devastating consequences in vast areas where malaria is prevalent in tropical/subtropical regions around the world. Thanks to its wide and consistent spatial coverage, remote sensing has become increasingly used in the public health domain. Specifically, remote sensing-based land cover/land use (LCLU) maps present a powerful tool that provides critical information on population distribution and on the potential human-vector interactions interfaces on a large spatial scale. Here, we present a 30-meter LCLU map that was created specifically for the malaria control and eradication efforts in Myanmar. This bottom-up approach can be modified and customized to other vector-borne infectious diseases in Myanmar or other Southeastern Asian countries.</p>","PeriodicalId":36824,"journal":{"name":"Data","volume":"6 6","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425379/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39403141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Literature review synthesis on predictors of Green IoT irrigation adoption in Morocco: Theoretical construct essay 摩洛哥采用绿色物联网灌溉预测因素的文献综述:理论建构论文
IF 2.6
Data Pub Date : 2021-04-05 DOI: 10.1145/3460620.3460763
Houda Zitan, Chafik Khalid
{"title":"Literature review synthesis on predictors of Green IoT irrigation adoption in Morocco: Theoretical construct essay","authors":"Houda Zitan, Chafik Khalid","doi":"10.1145/3460620.3460763","DOIUrl":"https://doi.org/10.1145/3460620.3460763","url":null,"abstract":"The agricultural sector is unpredictable and complicated for farmers to manage it, especially with all the immoderate challenges that condemn the development of agricultural production. Regarding Morocco, water scarcity remains the major challenge that face the sector and put at risk the irrigation based fields-that represents approximately the half of the agricultural GDP-, the nutritional needs of the Moroccan population as well as the global sustainable growth. A way to handle this issue is adopting green IT that enable farmers to establish one of the latest trends in the global smart irrigation systems which are Green Internet Of Things or G-IoT driven smart irrigation. These technologies are currently highly requested and used in the Moroccan agricultural context contributing to the economic and environmental performance. Consequently, the aim of this study is to inspect the factors that affect the farmer's intention to adopt Green IoT based irrigation systems in the Moroccan case. The study is conducted on a literature review based on studies concerning the same subject matter in an international level, and contribute to the research development by proposing a theoretical model related to farmers’ Green IoT adoption.","PeriodicalId":36824,"journal":{"name":"Data","volume":"8 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87735759","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
A Survey of Similarity Measures for Time stamped Temporal Datasets 时间戳时间数据集相似性度量的研究
IF 2.6
Data Pub Date : 2021-04-05 DOI: 10.1145/3460620.3460754
Aravind Cheruvu, V. Radhakrishna
{"title":"A Survey of Similarity Measures for Time stamped Temporal Datasets","authors":"Aravind Cheruvu, V. Radhakrishna","doi":"10.1145/3460620.3460754","DOIUrl":"https://doi.org/10.1145/3460620.3460754","url":null,"abstract":"Temporal transactional databases are transactional databases which store data in a temporal aspect. Usage of similarity of measures in temporal data mining tasks have gained significant importance to retrieve information and interesting patterns in data. It is always crucial to understand and decide what similarity measure we should use while performing a data mining task and this is always driven by the actual data and nature of the temporal data sets. The main objective of this research is to perform a detailed survey of the various similarity measures used in the temporal data mining in recent research contributions. This paper also provides insights on how these similarity measures are used in the Temporal association rule mining algorithms based on the works carried out in the literature.","PeriodicalId":36824,"journal":{"name":"Data","volume":"33 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82344851","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
Exposing Bot Attacks Using Machine Learning and Flow Level Analysis 利用机器学习和流级分析揭露僵尸攻击
IF 2.6
Data Pub Date : 2021-04-05 DOI: 10.1145/3460620.3460739
Rana M. Faek, Mohammad Al-Fawa'reh, Mustafa A. Al-Fayoumi
{"title":"Exposing Bot Attacks Using Machine Learning and Flow Level Analysis","authors":"Rana M. Faek, Mohammad Al-Fawa'reh, Mustafa A. Al-Fayoumi","doi":"10.1145/3460620.3460739","DOIUrl":"https://doi.org/10.1145/3460620.3460739","url":null,"abstract":"Botnets represent a major threat to Internet security that have continuously developed in scale and complexity. Command-and-control servers (C&C) send commands to bots that execute and perform these commands, thereby implementing attacks such as distributed denial-of-service (DDoS), spam campaigns, or the scanning of compromised hosts. The detection of volumetric attacks in large and complex networks requires an efficient mechanism. Botnet behavior should be analyzed in order to save the network from attack, and preventive measures should be implemented in time. Anomalous botnet tracking strategies are more efficient than signature-based ones, since botnet detection methods rely on anomalies and do not need pre-constructed botnet signatures, therefore they can detect new or unidentified botnets. We use Netflow and machine learning algorithms in this paper to also improve the detection process for intrusion detection algorithms with a novel dataset. We implemented a number of algorithms in our lightweight model to show that Random Forests get the highest accuracy for the algorithms used.","PeriodicalId":36824,"journal":{"name":"Data","volume":"112 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78074777","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: 3
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