Prediction of changes in visual acuity and contrast sensitivity function by tissue redness after pterygium surgery

MR Hilmi, MZ Che Azemin, K Mohd Kamal… - Current eye …, 2017 - Taylor & Francis
Purpose: The goal of this study was to predict visual acuity (VA) and contrast sensitivity
function (CSF) with tissue redness grading after pterygium surgery. Materials and methods …

[HTML][HTML] Corneo-pterygium total area measurements utilising image analysis method

HM Radzi, MK Khairidzan, CAM Zulfaezal, EA Azrin - Journal of Optometry, 2019 - Elsevier
Purpose To describe an objective method to accurately quantify corneo-pterygium total area
(CPTA) by utilising image analysis method and to evaluate its association with corneal …

[PDF][PDF] Effects of different types of primary pterygium on changes in oculovisual function

MR Hilmi, KM Kamal, AE Ariffin, N Norazmar… - Sains Malaysiana, 2020 - ukm.my
Pterygium are known to cause reduction in oculovisual function. However, the effects are
varying due to its various morphological factors, thus, the impact on patient are difficult to …

Changes in apical corneal curvature in unilateral primary pterygium and normal adults using simulated-K and corneal irregularity measurement

MR HILMI, NURH MUSA, KM KAMAL… - … Journal Of Allied …, 2019 - journals.iium.edu.my
Introduction: This paper aimed to describe variation in apical corneal curvature between
unilateral primary pterygium and normal adults utilizing simulated-K and corneal irregularity …

Basil leaves disease classification and identification by incorporating survival of fittest approach

G Dhingra, V Kumar, HD Joshi - Chemometrics and Intelligent Laboratory …, 2019 - Elsevier
Basil leaves are the major ingredients in traditional medicinal drugs with significant health
benefiting phytonutrients. The quality of leaves describe the measure of excellence from …

[图书][B] Machine Learning and Deep Learning Techniques for Medical Image Recognition

BO Soufiene, C Chakraborty - 2023 - books.google.com
Machine Learning and Deep Learning Techniques for Medical Image Recognition
comprehensively reviews deep learning-based algorithms in medical image analysis …

Kombinasi Jaringan Learning Vector Quantization Dan Normalized Cross Correlation Pada Pengenalan Wajah

A Saleh, E Indra, M Harahap - Jurnal Sistem Informasi Dan …, 2020 - jurnal.unprimdn.ac.id
Pengenalan wajah merupakan cara yang dilakukan untuk mengidentifikasi wajah
berdasarkan nilai ciri yang terdapat pada citra wajah dan dapat diterapkan di dalam …

Inter-grader reliability of a supervised pterygium redness grading system

MZC Azemin, MIM Tamrin, MR Hilmi… - Advanced Science …, 2016 - ingentaconnect.com
This research work outlines the methodology of a medical image grading system based on
supervised learning algorithm. A total of 210 features were extracted in various color spaces …

RETRACTED ARTICLE: LPG: a novel approach for medical forgery detection in image transmission

M Arun Anoop, S Poonkuntran - Journal of Ambient Intelligence and …, 2021 - Springer
Medical image transmission using IoT has become the hot field in the today's world of
research, but the attacks or manipulating the images, has become the real threat to the …

Analysis of X-rays in bone remodelling around Active and Replace dental implants

B Trochim, M Borowska, J Szarmach - Signal, Image and Video …, 2022 - Springer
Purpose of the study: The purpose of the study was to examine on the basis of radiographic
images of bone tissue, whether there are differences in the rate of bone remodelling using …