Visual Computing for Industry Biomedicine and Art最新文献

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Analytical study of two feature extraction methods in comparison with deep learning methods for classification of small metal objects 两种特征提取方法与深度学习方法在小金属物体分类中的对比分析研究
IF 2.8 4区 计算机科学
Visual Computing for Industry Biomedicine and Art Pub Date : 2022-05-10 DOI: 10.1186/s42492-022-00111-6
S. Amraee, Maryam Chinipardaz, Mohammadali Charoosaei
{"title":"Analytical study of two feature extraction methods in comparison with deep learning methods for classification of small metal objects","authors":"S. Amraee, Maryam Chinipardaz, Mohammadali Charoosaei","doi":"10.1186/s42492-022-00111-6","DOIUrl":"https://doi.org/10.1186/s42492-022-00111-6","url":null,"abstract":"","PeriodicalId":29931,"journal":{"name":"Visual Computing for Industry Biomedicine and Art","volume":"5 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65794142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images 校正:dcaunet:用于颅内动脉瘤图像分割的密集卷积注意U-Net
IF 2.8 4区 计算机科学
Visual Computing for Industry Biomedicine and Art Pub Date : 2022-05-08 DOI: 10.1186/s42492-022-00110-7
Wenwen Yuan, Yanjun Peng, Yanfei Guo, Yande Ren, Qianwen Xue
{"title":"Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images","authors":"Wenwen Yuan, Yanjun Peng, Yanfei Guo, Yande Ren, Qianwen Xue","doi":"10.1186/s42492-022-00110-7","DOIUrl":"https://doi.org/10.1186/s42492-022-00110-7","url":null,"abstract":"","PeriodicalId":29931,"journal":{"name":"Visual Computing for Industry Biomedicine and Art","volume":"5 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65794097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Influence of postural changes on haemodynamics in internal carotid artery bifurcation aneurysm using numerical methods 体位变化对颈内动脉分叉动脉瘤血流动力学影响的数值研究
IF 2.8 4区 计算机科学
Visual Computing for Industry Biomedicine and Art Pub Date : 2022-04-08 DOI: 10.1186/s42492-022-00107-2
Ballambat, Raghuvir Pai, Zuber, Mohammad, Khader, Shah Mohammed Abdul, Ayachit, Anurag, Ahmad, Kamarul Arifin bin, Vedula, Rajanikanth Rao, Kamath, Sevagur Ganesh, Shuaib, Ibrahim Lutfi
{"title":"Influence of postural changes on haemodynamics in internal carotid artery bifurcation aneurysm using numerical methods","authors":"Ballambat, Raghuvir Pai, Zuber, Mohammad, Khader, Shah Mohammed Abdul, Ayachit, Anurag, Ahmad, Kamarul Arifin bin, Vedula, Rajanikanth Rao, Kamath, Sevagur Ganesh, Shuaib, Ibrahim Lutfi","doi":"10.1186/s42492-022-00107-2","DOIUrl":"https://doi.org/10.1186/s42492-022-00107-2","url":null,"abstract":"Cerebral intracranial aneurysms are serious problems that can lead to stroke, coma, and even death. The effect of blood flow on cerebral aneurysms and their relationship with rupture are unknown. In addition, postural changes and their relevance to haemodynamics of blood flow are difficult to measure in vivo using clinical imaging alone. Computational simulations investigating the detailed haemodynamics in cerebral aneurysms have been developed in recent times not only to understand the progression and rupture but also for clinical evaluation and treatment. In the present study, the haemodynamics of a patient-specific case of a large aneurysm on the left side internal carotid bifurcation (LICA) and no aneurysm on the right side internal carotid bifurcation (RICA) was investigated. The simulation of these patient-specific models using fluid–structure interaction provides a valuable comparison of flow behavior between normal and aneurysm models. The influences of postural changes were investigated during standing, sleeping, and head-down (HD) position. Significant changes in flow were observed during the HD position and quit high arterial blood pressure in the internal carotid artery (ICA) aneurysm model was established when compared to the normal ICA model. The velocity increased abruptly during the HD position by more than four times (LICA and RICA) and wall shear stress by four times (LICA) to ten times (RICA). The complex spiral flow and higher pressures prevailing within the dome increase the risk of aneurysm rupture.","PeriodicalId":29931,"journal":{"name":"Visual Computing for Industry Biomedicine and Art","volume":"22 6","pages":"11"},"PeriodicalIF":2.8,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138495074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study 头部和颈部MRI放射组学特征的获取可重复性:双3d序列多重扫描研究
IF 2.8 4区 计算机科学
Visual Computing for Industry Biomedicine and Art Pub Date : 2022-04-01 DOI: 10.1186/s42492-022-00106-3
Cindy Xue, J. Yuan, Yihang Zhou, O. Wong, K. Cheung, S. Yu
{"title":"Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study","authors":"Cindy Xue, J. Yuan, Yihang Zhou, O. Wong, K. Cheung, S. Yu","doi":"10.1186/s42492-022-00106-3","DOIUrl":"https://doi.org/10.1186/s42492-022-00106-3","url":null,"abstract":"","PeriodicalId":29931,"journal":{"name":"Visual Computing for Industry Biomedicine and Art","volume":"38 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65794084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images dcaunet:用于颅内动脉瘤图像分割的密集卷积注意U-Net
IF 2.8 4区 计算机科学
Visual Computing for Industry Biomedicine and Art Pub Date : 2022-03-28 DOI: 10.1186/s42492-022-00105-4
Wenwen Yuan, Yanjun Peng, Yanfei Guo, Yande Ren, Qianwen Xue
{"title":"DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images","authors":"Wenwen Yuan, Yanjun Peng, Yanfei Guo, Yande Ren, Qianwen Xue","doi":"10.1186/s42492-022-00105-4","DOIUrl":"https://doi.org/10.1186/s42492-022-00105-4","url":null,"abstract":"","PeriodicalId":29931,"journal":{"name":"Visual Computing for Industry Biomedicine and Art","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45162533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Preoperative prediction of lymph node metastasis using deep learning-based features 基于深度学习特征的术前淋巴结转移预测
IF 2.8 4区 计算机科学
Visual Computing for Industry Biomedicine and Art Pub Date : 2022-03-07 DOI: 10.1186/s42492-022-00104-5
R. Cattell, Jia Ying, Lan Lei, Jie Ding, Shenglan Chen, Mario Serrano Sosa, Chuan Huang
{"title":"Preoperative prediction of lymph node metastasis using deep learning-based features","authors":"R. Cattell, Jia Ying, Lan Lei, Jie Ding, Shenglan Chen, Mario Serrano Sosa, Chuan Huang","doi":"10.1186/s42492-022-00104-5","DOIUrl":"https://doi.org/10.1186/s42492-022-00104-5","url":null,"abstract":"","PeriodicalId":29931,"journal":{"name":"Visual Computing for Industry Biomedicine and Art","volume":"5 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41576804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Skin lesion classification system using a K-nearest neighbor algorithm 基于k近邻算法的皮肤病变分类系统
IF 2.8 4区 计算机科学
Visual Computing for Industry Biomedicine and Art Pub Date : 2022-03-01 DOI: 10.1186/s42492-022-00103-6
Hatem, Mustafa Qays
{"title":"Skin lesion classification system using a K-nearest neighbor algorithm","authors":"Hatem, Mustafa Qays","doi":"10.1186/s42492-022-00103-6","DOIUrl":"https://doi.org/10.1186/s42492-022-00103-6","url":null,"abstract":"One of the most critical steps in medical health is the proper diagnosis of the disease. Dermatology is one of the most volatile and challenging fields in terms of diagnosis. Dermatologists often require further testing, review of the patient’s history, and other data to ensure a proper diagnosis. Therefore, finding a method that can guarantee a proper trusted diagnosis quickly is essential. Several approaches have been developed over the years to facilitate the diagnosis based on machine learning. However, the developed systems lack certain properties, such as high accuracy. This study proposes a system developed in MATLAB that can identify skin lesions and classify them as normal or benign. The classification process is effectuated by implementing the K-nearest neighbor (KNN) approach to differentiate between normal skin and malignant skin lesions that imply pathology. KNN is used because it is time efficient and promises highly accurate results. The accuracy of the system reached 98% in classifying skin lesions.","PeriodicalId":29931,"journal":{"name":"Visual Computing for Industry Biomedicine and Art","volume":"23 3‐4","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138495073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Publisher Correction to: Visual Computing for Industry, Biomedicine, and Art, volume 2 出版商更正:视觉计算工业,生物医学,和艺术,卷2
IF 2.8 4区 计算机科学
Visual Computing for Industry Biomedicine and Art Pub Date : 2019-09-05 DOI: 10.1186/s42492-019-0021-x
Biomedicine Visual Computing for Industry
{"title":"Publisher Correction to: Visual Computing for Industry, Biomedicine, and Art, volume 2","authors":"Biomedicine Visual Computing for Industry","doi":"10.1186/s42492-019-0021-x","DOIUrl":"https://doi.org/10.1186/s42492-019-0021-x","url":null,"abstract":"","PeriodicalId":29931,"journal":{"name":"Visual Computing for Industry Biomedicine and Art","volume":"19 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90797566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","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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