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CoordConv-Unet: Investigating CoordConv for Organ Segmentation

Autor: R. El Jurdi, Caroline Petitjean, Fahed Abdallah, Paul Honeine

Publikováno v: Innovation and Research in BioMedical engineering
Innovation and Research in BioMedical engineering, Elsevier Masson, 2021, ⟨10.1016/j.irbm.2021.03.002⟩
Innovation and Research in BioMedical engineering, 2021, ⟨10.1016/j.irbm.2021.03.002⟩

International audience; Objectives: Convolutional neural networks (CNNs) have established state-of-the-art performance in computer vision tasks such as object detection and segmentation. One of the major remaining challenges concerns their ability to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adeaca05ac2e74b0990061bdcb29359b
https://doi.org/10.1016/j.irbm.2021.03.002

Application of integrated binocular stereo vision measurement and wireless sensor system in athlete displacement test

Autor: Haizhen Li, Baojun Zhang

Publikováno v: Alexandria Engineering Journal, Vol 60, Iss 5, Pp 4325-4335 (2021)

Based on binocular stereo vision measurement and wireless sensing theory, this paper studies the measurement and analysis methods of athletes' movement displacement parameters. The main purpose is to explore the relationship between sports biomechani

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b526ba04d927c069fc31244ce34f748
http://www.sciencedirect.com/science/article/pii/S1110016821001058

A Hybrid Estimation Technique Using Elliptical Radial Basis Neural Networks and Cokriging

Autor: Clayton V. Deutsch, Matthew Samson

Publikováno v: Mathematical Geosciences. 54:573-591

Mineral resource estimation is an integral part of making informed decisions while evaluating a mining operation’s feasibility. Geostatistical tools estimate geological features with the assumptions of first and second-order stationarity. Kriging i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9531dd1cf1807e0f82c2b5ad041b4352
https://doi.org/10.1007/s11004-021-09969-3

Tools for integrating inertial sensor data with video bio-loggers, including estimation of animal orientation, motion, and position

Autor: Jeremy A. Goldbogen, David E. Cade, William T. Gough, James A. Fahlbusch, Shirel R. Kahane-Rapport, Jacob M. J. Linsky, William K. Oestreich, Max F. Czapanskiy, Ari S. Friedlaender, Danuta M. Wisniewska, Ross Nichols

Publikováno v: Animal Biotelemetry, Vol 9, Iss 1, Pp 1-21 (2021)
Cade, D E, Gough, W T, Czapanskiy, M F, Fahlbusch, J A, Kahane-Rapport, S R, Linsky, J M J, Nichols, R C, Oestreich, W K, Wisniewska, D M, Friedlaender, A S & Goldbogen, J A 2021, ' Tools for integrating inertial sensor data with video bio-loggers, including estimation of animal orientation, motion, and position ', Animal Biotelemetry, vol. 9, no. 1, 34 . https://doi.org/10.1186/s40317-021-00256-w

Bio-logging devices equipped with inertial measurement units—particularly accelerometers, magnetometers, and pressure sensors—have revolutionized our ability to study animals as necessary electronics have gotten smaller and more affordable over t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6b80e0f4b6c52a9ab778ffc123286ef
https://doaj.org/article/06c14c88e5734d87b377bfb18447efb8