Automatic Landmark Detection for Preoperative Planning of High Tibial Osteotomy Using Traditional Feature Extraction and Deep Learning Methods
J Han, X Ma, Y Lyu, H Bai - The International Journal of Medical …, 2024 - Wiley Online Library
ABSTRACT Background Automatic High Tibial Osteotomy (HTO) landmark detection
methods promise to improve the effectiveness and standardisation of HTO preoperative …
methods promise to improve the effectiveness and standardisation of HTO preoperative …
Assertion of Low Bone Mass in Osteoporotic X-ray images using Deep Learning Technique
G Amiya, K Ramaraj, PR Murugan… - … on Advances in …, 2022 - ieeexplore.ieee.org
Osteoporosis is a disease that causes low bone mass and bone tissue deterioration. The
application of medical image segmentation in identifying the anomalies present in the …
application of medical image segmentation in identifying the anomalies present in the …
Fingerprint Recognition Revolutionized: Harnessing the Power of Deep Convolutional Neural Networks
SJ Habib, AWS Ibrahim - … on Forthcoming Networks and Sustainability in …, 2024 - Springer
Traditional fingerprint recognition systems struggle to manage large datasets and detect
certain fingerprint traits. These systems often require manual feature extraction, which slows …
certain fingerprint traits. These systems often require manual feature extraction, which slows …
Enhancing Fingerprint Recognition Systems: Comparative Analysis of Biometric Authentication Algorithms and Techniques for Improved Accuracy and Reliability
T Meiramkhanov, A Tleubayeva - arXiv preprint arXiv:2412.14404, 2024 - arxiv.org
Fingerprint recognition systems stand as pillars in the realm of biometric authentication,
providing indispensable security measures across various domains. This study investigates …
providing indispensable security measures across various domains. This study investigates …
MACHINE LEARNING BASED ARTIFICIAL NEURAL NETWORKS FOR FINGERPRINT RECOGNITION.
NR Pradeep, J Ravi - ICTACT Journal on Image & Video …, 2022 - search.ebscohost.com
Fingerprint identification relies on computations and classification models based on images
to identify individuals at their most basic level. For feature extraction, several image …
to identify individuals at their most basic level. For feature extraction, several image …
Check for updates Fingerprint Recognition Revolutionized: Harnessing the Power of Deep Convolutional Neural Networks
SJ Habib, AWS Ibrahim - … Networks and Sustainability in the AIoT …, 2024 - books.google.com
Traditional fingerprint recognition systems struggle to manage large datasets and detect
certain fingerprint traits. These systems often require manual feature extraction, which slows …
certain fingerprint traits. These systems often require manual feature extraction, which slows …
A Novel Feature Selection Method Based on Bio-inspired Artificial Intelligence for palm vein authentication
L Ghoualmi, A Draa - 2022 - researchsquare.com
Recently, both industry and academics are paying increasingly more attention to bio-metric
authentication using palm vein patterns due to the benefits it provides over traditional …
authentication using palm vein patterns due to the benefits it provides over traditional …
A Novel Feature Selection Method Based on Bio-inspired Artificial Intelligence for The Feature Selection of Bio-metric Data
L Ghoualmi, A Draa - 2022 - researchsquare.com
Recently, both industry and academics are paying increasingly more attention to bio-metric
authentication using palm vein patterns due to the benefits it provides over traditional …
authentication using palm vein patterns due to the benefits it provides over traditional …
A Novel Feature Selection Method Based On Discrete Bee Colony Algorithm for Palm Vein Authentication.
L Ghoualmi, A Draa - 2022 - researchsquare.com
Vein pattern recognition is one of the newest biometric technologies that competes with well-
known biometric techniques such as fingerprint, face, and iris recognition. However, feature …
known biometric techniques such as fingerprint, face, and iris recognition. However, feature …