Results 1 to 10 of about 2,912,057 (185)

Deep Learning-Based Automated Anatomical Landmark Detection and Saw Blade Size Prediction for Canine Tibial Plateau Leveling Osteotomy [PDF]

Animals
Objective: To develop and validate a fully automated deep learning workflow that localizes key anatomical landmarks on standard canine hindlimb lateral radiographs, derives the tibial plateau angle (TPA), and recommends a saw blade size for tibial ...
Tea Hyung Kim, Ji Yun Lee, Hwi Yool Kim
doaj   +2 more sources

Artificial Intelligence-based Automated Anatomic Landmark Detection and Image Deformation for Nonsmall Lung Cancer Cases [PDF]

Journal of Medical Physics
Background: Adaptive radiotherapy for non-small cell lung cancer (NSCLC) requires accurate image registration to account for anatomical changes during treatment.
Siti Zulaikho, Ilga Pradipta Dyah Prameswara, Nelly, Frasisca Yulia Dimitri, Erlinda Ratnasari Putri, Akbar Azzi   +5 more
doaj   +2 more sources

Aircraft-LBDet: Multi-Task Aircraft Detection with Landmark and Bounding Box Detection

Remote Sensing, 2023
With the rapid development of artificial intelligence and computer vision, deep learning has become widely used for aircraft detection. However, aircraft detection is still a challenging task due to the small target size and dense arrangement of aircraft
Yihang Ma, Deyun Zhou, Yuting He, Liangjin Zhao, Peirui Cheng, Hao Li, Kaiqiang Chen   +6 more
doaj   +3 more sources

Siamese comparative transformer-based network for unsupervised landmark detection. [PDF]

PLoS ONE
Landmark detection is a common task that benefits downstream computer vision tasks. Current landmark detection algorithms often train a sophisticated image pose encoder by reconstructing the source image to identify landmarks.
Can Zhao, Tao Wu, Jianlin Zhang, Zhiyong Xu, Meihui Li, Dongxu Liu   +5 more
doaj   +2 more sources

Deep Learning-Based Landmark Detection for Mobile Robot Outdoor Localization

Machines, 2019
Outdoor mobile robot applications generally implement Global Positioning Systems (GPS) for localization tasks. However, GPS accuracy in outdoor localization has less accuracy in different environmental conditions.
Sivapong Nilwong, Delowar Hossain, Shin-ichiro Kaneko, Genci Capi   +3 more
doaj   +3 more sources

Automated Bony Landmark Detection on Foot Radiographs: Facilitating Linear and Angular Measurements [PDF]

Foot & Ankle Orthopaedics
Research Type: Level 3 - Retrospective cohort study, Case-control study, Meta-analysis of Level 3 studies Introduction/Purpose: Accurate assessment of foot alignment on radiographs relies on precise identification of key bony landmarks. Manual annotation
Atta Taseh MD, Junjie Li MS, Shrestha Mishra, Carl Rai MD, Ronit Avadhuta, Matthias Peiffer MD, PhD, Bedri Karaismailoglu MD, FEBOT, PhDc, Gregory Waryasz MD, Lorena Bejarano-Pineda MD, Christopher Miller MD, Soheil Ashkani-Esfahani MD, MPH, PhDc   +10 more
doaj   +2 more sources

Multi-Scale 3D Cephalometric Landmark Detection Based on Direct Regression with 3D CNN Architectures [PDF]

Diagnostics
Background: Cephalometric analysis is important in diagnosing and planning treatments for patients, traditionally relying on 2D cephalometric radiographs.
Chanho Song, Yoosoo Jeong, Hyungkyu Huh, Jee-Woong Park, Jun-Young Paeng, Jaemyung Ahn, Jaebum Son, Euisung Jung   +7 more
doaj   +2 more sources

A Multi-Task Based Deep Learning Framework With Landmark Detection for MRI Couinaud Segmentation [PDF]

IEEE Journal of Translational Engineering in Health and Medicine
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 function.
Dong Miao, Ying Zhao, Xue Ren, Meng Dou, Yu Yao, Yiran Xu, Yingchao Cui, Ailian Liu   +7 more
doaj   +2 more sources

Effectiveness of Human–Artificial Intelligence Collaboration in Cephalometric Landmark Detection [PDF]

Journal of Personalized Medicine, 2022
Van Nhat Thang Le, Il-Seok Oh, Dae-Woo Lee   +2 more
exaly   +2 more sources

HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations

IEEE Access, 2023
Facial landmark detection is an essential task in face-processing techniques. Traditional methods, however, require expensive pixel-level labels. Semi-supervised facial landmark detection has been explored as an alternative, but previous approaches only ...
Seoungyoon Kang, Minhyun Lee, Minjae Kim, Hyunjung Shim   +3 more
doaj   +1 more source