AIMC Topic: Biometry
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Refractive outcomes of second-eye adjustment methods on intraocular lens power calculation in second eye.
Clinical & experimental ophthalmology
Sep 30, 2021
BACKGROUND: To investigate the refractive outcomes of second-eye adjustment (SEA) methods in different intraocular lens (IOL) power calculation formulas for second eye following bilateral sequential cataract surgery.
A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty.
Scientific reports
Sep 17, 2021
The efficacy of deep learning in predicting successful big-bubble (SBB) formation during deep anterior lamellar keratoplasty (DALK) was evaluated. Medical records of patients undergoing DALK at the University of Cologne, Germany between March 2013 an...
Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics.
Yearbook of medical informatics
Sep 3, 2021
OBJECTIVE: To identify and highlight research papers representing noteworthy developments in signals, sensors, and imaging informatics in 2020.
Deep learning analysis and age prediction from shoeprints.
Forensic science international
Aug 30, 2021
Human gaits are the patterns of limb movements which involve both the upper and lower body parts. These patterns in terms of step rate, gait speed, stance widening, stride, and bipedal forces are influenced by different factors including environmenta...
Automatic fetal biometry prediction using a novel deep convolutional network architecture.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Jul 6, 2021
PURPOSE: Fetal biometric measurements face a number of challenges, including the presence of speckle, limited soft-tissue contrast and difficulties in the presence of low amniotic fluid. This work proposes a convolutional neural network for automatic...
Authentication through gender classification from iris images using support vector machine.
Microscopy research and technique
May 14, 2021
Soft biometric information, such as gender, iris, and voice, can be helpful in various applications, such as security, authentication, and validation. Iris is secure biometrics with low forgery and error rates due to its highly certain features are b...
Deep learning-based automatic meibomian gland segmentation and morphology assessment in infrared meibography.
Scientific reports
Apr 7, 2021
Meibomian glands (MG) are large sebaceous glands located below the tarsal conjunctiva and the abnormalities of these glands cause Meibomian gland dysfunction (MGD) which is responsible for evaporative dry eye disease (DED). Accurate MG segmentation i...
Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person.
IEEE transactions on neural networks and learning systems
Apr 2, 2021
This article focuses on a new and practical problem in single-sample per person face recognition (SSPP FR), i.e., SSPP FR with a contaminated biometric enrolment database (SSPP-ce FR), where the SSPP-based enrolment database is contaminated by nuisan...
Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis.
Biomedical engineering online
Mar 25, 2021
INTRODUCTION: The use of machine learning (ML) methods would improve the diagnosis of respiratory changes in systemic sclerosis (SSc). This paper evaluates the performance of several ML algorithms associated with the respiratory oscillometry analysis...
ScatT-LOOP: scattering tetrolet-LOOP descriptor and optimized NN for iris recognition at-a-distance.
Biomedizinische Technik. Biomedical engineering
Feb 22, 2021
Iris Recognition at-a Distance (IAAD) is a major challenge for researchers due to the defects associated with the visual imaging and poor image quality in dynamic environments, which imposed bad impacts on the accuracy of recognition. Thus, in order ...
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