Results 11 to 20 of about 105,792 (367)
Purpose Precise ocular measurements are fundamental for achieving excellent target refraction following both cataract surgery and refractive lens exchange. Biometry devices with swept-source optical coherence tomography (SS-OCT) employ longer wavelengths
Piotr Kanclerz +2 more
doaj +2 more sources
Correlation of vitreous chamber depth with ocular biometry in high axial myopia
Purpose: The proportion of axial length (AL) occupied by vitreous chamber depth (VCD), or VCD:AL, consistently correlates to ocular biometry in the general population. Relation of VCD:AL to ocular biometry in high myopia is not known. The purpose of this
Anusha Paritala +5 more
doaj +2 more sources
Optimization of biometry for best refractive outcome in cataract surgery
High-precision biometry and accurate intraocular lens (IOL) power calculation have become essential components of cataract surgery. In clinical practice, IOL power calculation involves measuring parameters such as corneal power and axial length and then ...
Vinita Gupta +5 more
openalex +2 more sources
Current Concepts and Recent Updates of Optical Biometry- A Comprehensive Review
Madhumallika Pathak,1 Vijaya Sahu,2 Aseem Kumar,2 Kirandeep Kaur,3 Bharat Gurnani4 1Department of Ophthalmology, Sai Baba Eye Hospital, Raipur, Chhattisgarh, 492099, India; 2Department of Ophthalmology, All India Institute of Medical Sciences, Raipur ...
Pathak M +4 more
doaj +2 more sources
Accuracy of portable ultrasound machines for obstetric biometry [PDF]
To evaluate the accuracy of two portable ultrasound machines (PUM) in assessing fetal biometry and estimated gestational age (EGA).
Katelyn Rittenhouse +10 more
openalex +2 more sources
Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network. [PDF]
PurposeTo assess feasibility of training a convolutional neural network (CNN) to automate liver segmentation across different imaging modalities and techniques used in clinical practice and apply this to enable automation of liver biometry.MethodsWe ...
Bahrami, Naeim +14 more
core +2 more sources
Prediction of small for gestational age neonates: screening by maternal factors, fetal biometry, and biomarkers at 35–37 weeks’ gestation [PDF]
Anca Marina Ciobanu +4 more
openalex +2 more sources
Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning
Fetal biometry and amniotic fluid volume assessments are two essential yet repetitive tasks in fetal ultrasound screening scans, aiding in the detection of potentially life-threatening conditions.
S. Slimani +15 more
semanticscholar +1 more source
Automatic biometry of fetal brain MRIs using deep and machine learning techniques
Linear biometric measurements on magnetic resonance images are important for the assessment of fetal brain development, which is expert knowledge dependent and laborious.
Jiayan She +10 more
semanticscholar +1 more source
The best overall results with the sum-of-segments biometry were noted with the B II, BTAL, EVO, Hoffer QST, K6, Kane, Olsen, and PEARL-DGS formulas. Purpose: To analyze the accuracy of newer intraocular lens power formulas in long and short eyes measured
H. Shammas +4 more
semanticscholar +1 more source

