Zobrazeno 1 - 10
of 1 394
pro vyhledávání: '"Landmark detection"'
Autor:
Rastislav Hornák, František Duchoň
Publikováno v:
Advances in Respiratory Medicine, Vol 92, Iss 4, Pp 318-328 (2024)
Obstructive Sleep Apnea (OSA) is a common disorder affecting both adults and children. It is characterized by repeated episodes of apnea (stopped breathing) and hypopnea (reduced breathing), which result in intermittent hypoxia. We recognize pediatri
Externí odkaz:
https://doaj.org/article/44176058ed264df68df9de5a2e7bfa86
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study aimed to develop and evaluate a deep learning-based system for the automatic measurement of angles (specifically, Meary’s angle and calcaneal pitch) in weight-bearing lateral radiographs of the foot for flatfoot diagnosis. We ut
Externí odkaz:
https://doaj.org/article/109fad22a6d24843ae0db687c1c8768c
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 2, Pp 105-121 (2024)
An efficient face recognition system is essential for security and authentication-based applications. However, real-time face recognition systems have a few significant concerns, including face pose orientations. In the last decade, numerous solution
Externí odkaz:
https://doaj.org/article/612d59225b9b41b2b6a769d3486e84d4
Autor:
Abdulaziz Alashbi, Abdul Hakim H.M. Mohamed, Ayman A. El-Saleh, Ibraheem Shayea, Mohd Shahrizal Sunar, Zieb Rabie Alqahtani, Faisal Saeed, Bilal Saoud
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 61, Iss , Pp 101893- (2025)
Significant advancements have been achieved in the field of computer vision pertaining to the detection of human faces. This technological development holds great potential for a wide range of applications including but not limited to identification,
Externí odkaz:
https://doaj.org/article/80006f66964d4299ad0866bc3a5e0e87
Autor:
Julio C. Rodriguez-Quiñonez, Jonathan J. Sanchez-Castro, Oscar Real-Moreno, Guillermo Galaviz, Wendy Flores-Fuentes, Oleg Sergiyenko, Moises J. Castro-Toscano, Daniel Hernandez-Balbuena
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35929- (2024)
A considerable number of vehicular accidents occur in low-millage zones like school streets, neighborhoods, and parking lots, among others. Therefore, the proposed work aims to provide a novel ADAS system to warn about dangerous scenarios by analyzin
Externí odkaz:
https://doaj.org/article/5d49eff221ef4472a3f7b599825b0987
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Purpose: An efficient physics-informed deep learning approach for extracting spinopelvic measures from X-ray images is introduced and its performance is evaluated against manual annotations. Methods: Two datasets, comprising a total of 1470
Externí odkaz:
https://doaj.org/article/7c8bb04c3db34313b3e04a3fc4b31100
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 697-710 (2024)
To achieve precise Couinaud liver segmentation in preoperative planning for hepatic surgery, accommodating the complex anatomy and significant variations, optimizing surgical approaches, reducing postoperative complications, and preserving liver func
Externí odkaz:
https://doaj.org/article/fc78731207a3410f90426427fd9888cd
Publikováno v:
IEEE Access, Vol 12, Pp 140978-140999 (2024)
Compared with 2D face recognition systems, 3D facial recognition has been a popular area of study in academia and industry because of its ability to detect human faces in an unconstrained environment more efficiently. This study presents a new 3D fac
Externí odkaz:
https://doaj.org/article/a729bc02586041d0b6ca19f1ef9319be
Publikováno v:
IEEE Access, Vol 12, Pp 61484-61497 (2024)
In medical imaging, automated landmark detection estimates the position of anatomical points in images to derive measurements. Previous approaches commonly employ coordinate regression. Landmark segmentation, a technique in which masks centered at th
Externí odkaz:
https://doaj.org/article/6a536f40e4784b92af0ebdb185183231
Publikováno v:
IEEE Access, Vol 12, Pp 47854-47867 (2024)
Deep learning-based recognition systems are deployed at scale for real-world applications that inevitably involve our social life. Although of great support when making complex decisions, they might capture spurious data correlations and leverage sen
Externí odkaz:
https://doaj.org/article/cb7cc3aa221749ecaecb84657bfa0d46