Zobrazeno 1 - 10
of 1 460
pro vyhledávání: '"Sørensen–Dice coefficient"'
Publikováno v:
Egyptian Journal of Biological Pest Control, Vol 30, Iss 1, Pp 1-10 (2020)
Abstract Background Egypt forms a home for the highest number of recorded Mantodea species of the Palaearctic Region. The status and ecology of such diversity are far from being completely understood. Main body Through this study, the similarity of M
Externí odkaz:
https://doaj.org/article/36994013d4f94e76bce8808bcaead615
Autor:
B. I. Semkin, L. I. Varchenko
Publikováno v:
Известия ТИНРО, Vol 197, Iss 2, Pp 233-238 (2019)
Method of building of optimal Hamiltonian cycle is proposed for study of cyclic changes in species composition of macrophytobenthos in the Vostok Bay. Compiled lists of macroalgae and higher plants are composed for each month. Requirements for the sp
Externí odkaz:
https://doaj.org/article/78c0f225c1a34f0f9a8327edd8f1e825
Autor:
Pravesh Parekh, Jitender Saini, Gaurav V. Bhalerao, Sanjeev Jain, Rashmi Rao, Vanteemar S. Sreeraj, John P. John, Ganesan Venkatasubramanian, Bharath Holla
Publikováno v:
International Journal of Methods in Psychiatric Research
ObjectiveThe Accelerator Program for Discovery in Brain Disorders using Stem Cells (ADBS) is a longitudinal study focused on collecting and analysing clinical, neuropsychological, neurophysiological, and multimodal neuroimaging data from five cohorts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bee6ba56b5dd16999afd3b99f86b37d9
https://doi.org/10.1002/mpr.1871
https://doi.org/10.1002/mpr.1871
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:2589-2600
The present work proposes entropy based automatic unsupervised brain intracranial hemorrhage segmentation using CT images. The proposed work is consisting of fuzzy c-mean (FCM), automatic selection of cluster, skull removal, thresholding and edge-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fba82021b02edbc80809f7a31066eed
https://doi.org/10.1016/j.jksuci.2020.01.003
https://doi.org/10.1016/j.jksuci.2020.01.003
Three-dimensional (3D) imaging, such as micro-computed tomography (micro-CT), is increasingly being used by organismal biologists for precise and comprehensive anatomical characterization. However, the segmentation of anatomical structures remains a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65674351190e4da3fee3d701592c7c17
https://doi.org/10.22541/au.168303800.00607401/v1
https://doi.org/10.22541/au.168303800.00607401/v1
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:2228-2239
For diagnosing cardiovascular disease, an accurate segmentation method is needed. There are several unresolved issues in the complex field of cardiac magnetic resonance imaging, some of which have been partially addressed by using deep neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9df7bd8c2f65df7d14eb80a8eaeb323
https://doi.org/10.1109/jbhi.2021.3131758
https://doi.org/10.1109/jbhi.2021.3131758
Autor:
Vijayalakshmi Senthil, Sripad K. Devella, Satish Kumar Panda, Tin Aung, Alexandre H. Thiery, Ching-Yu Cheng, Tin A. Tun, Michael J A Girard, Ramaswami Krishnadas, Haris Cheong, Shamira A. Perera, Martin L. Buist
Publikováno v:
American Journal of Ophthalmology. 236:172-182
Purpose To develop a novel deep-learning approach that can describe the structural phenotype of the glaucomatous ONH and can be used as a robust glaucoma diagnosis tool. Design Retrospective, deep-learning approach diagnosis study. Method We trained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6d7b2798f49cd204d221b7082627ed2
https://doi.org/10.1016/j.ajo.2021.06.010
https://doi.org/10.1016/j.ajo.2021.06.010
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:161-171
Transcranial focused ultrasound (tFUS) is a promising non-invasive technique for treating neurological and psychiatric disorders. One of the challenges for tFUS is the disruption of wave propagation through the skull. Consequently, despite the risks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462dc94c52c5a6894279c78bdf59374d
https://doi.org/10.1109/jbhi.2021.3103387
https://doi.org/10.1109/jbhi.2021.3103387
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:2007-2028
With the increasing number of telecom providers and services, churn prediction gains tremendous interest in the current decade. The prediction models based on machine learning are the greatest fortune for customer retention campaigns as they pave the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a063d2a6f10ca6a19997332db5f5f1f2
https://doi.org/10.1007/s12652-021-03413-4
https://doi.org/10.1007/s12652-021-03413-4
Publikováno v:
Contrast Media & Molecular Imaging
Contrast Media & Molecular Imaging, Vol 2021 (2021)
Contrast Media & Molecular Imaging, Vol 2021 (2021)
The aim of this study was to analyze the application value of functional magnetic resonance imaging (FMRI) optimized by the fast independent component correlation algorithm (ICA algorithm) in the diagnosis of brain functional areas in patients with l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8ab77e01fe9d28e018e1982989a9a9
https://doi.org/10.1155/2021/5177037
https://doi.org/10.1155/2021/5177037