Results 111 to 120 of about 2,912,057 (185)

Three-dimensional soft tissue landmark detection with marching cube algorithm. [PDF]

Sci Rep, 2023
Lee Y, Lee JM, Park SH, Choi YJ, Choi SH, Hwang JJ, Yu HS.   +6 more
europepmc   +1 more source

Attention-Base deep learning for 3D craniofacial soft tissue landmark detection and diagnosis in orthodontics. [PDF]

Sci Rep
Qiu T, Hu C, Zhang J, Wu F, Wang H, Liu X, Sun M.   +6 more
europepmc   +1 more source

Three-Dimensional Craniofacial Landmark Detection in Series of CT Slices Using Multi-Phased Regression Networks. [PDF]

Diagnostics (Basel), 2023
Nishimoto S, Saito T, Ishise H, Fujiwara T, Kawai K, Kakibuchi M.   +5 more
europepmc   +1 more source

Facial Landmark Detection

Facial landmark detection, a pivotal task in computer vision, identifies key facial points to enable applications such as expression transfer, emotion recognition, and face morphing. This survey reviews classic and modern facial landmark detection methods, evaluates five backends: Dlib, OpenFace, FAN, and Mediapipe, alongside an implementation of the ...
openaire   +1 more source

A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification. [PDF]

Sci Data
Khalid MA, Zulfiqar K, Bashir U, Shaheen A, Iqbal R, Rizwan Z, Rizwan G, Fraz MM.   +7 more
europepmc   +1 more source

Author Correction: Three-dimensional soft tissue landmark detection with marching cube algorithm. [PDF]

Sci Rep, 2023
Lee Y, Lee JM, Park SH, Choi YJ, Choi SH, Hwang JJ, Yu HS.   +6 more
europepmc   +1 more source

Automated detection of chewing movements in videofluoroscopic swallowing studies using deep learning for landmark detection and motion analysis. [PDF]

Comput Biol Med
Bandini A, Lasala A, Peladeau-Pigeon M, Dharmarathna I, Gandhi P, Meng D, Milne H, Panes V, Simmons MM, Steele CM.   +9 more
europepmc   +1 more source

The AENEAS Project: Intraoperative Anatomical Guidance Through Real-Time Landmark Detection Using Machine Vision. [PDF]

Mayo Clin Proc Digit Health
Olei S, Sarwin G, Staartjes VE, Zanuttini L, Ryu S, Regli L, Konukoglu E, Serra C.   +7 more
europepmc   +1 more source

StrabNet-CQ: an integrated deep learning framework for automated strabismus classification and quantification using ocular landmark detection. [PDF]

BMC Ophthalmol
Garg S, Sunkarapalli A, Ghosh D, Kaur S, Sukhija J.   +4 more
europepmc   +1 more source

Deep Learning-Based Landmark Detection Model for Multiple Foot Deformity Classification: A Dual-Center Study. [PDF]

Yonsei Med J
Lee SJ, Yoon H, Bae S, Paik I, Moon JH, Park S, Jang CW, Park JH, Choi E, Yang E, Shin JC.   +10 more
europepmc   +1 more source