| 1 | Amblyopia screening for first and second-grade children in Jordan显示文摘AIM:To share the results of a national screening program for amblyopia in school children in the north of Jordan.METHODS:This is a prospective national screening study for amblyopia.The program rolls first and second-grade children(6 to 7 years old) in the north of Jordan.The eye examination included:best-corrected visual acuity,cover-uncover test,and cycloplegic retinoscopy.Monocular visual acuity was tested using an ETDRS visual acuity chart without correction.Moreover,children were tested with full cycloplegic refraction when the test criteria were met.Unilateral amblyopia was defined as a best-corrected visual acuity difference of 2 or more lines.In comparison,bilateral amblyopia was defined as a best-corrected visual acuity of 20/40 or worse in the best eye.RESULTS:The prevalence of amblyopia for the total sample tested(n=17 203) was 2.78%(n=479).The most common cause of amblyopia was hypermetropia(64.45%),followed by previous ocular surgeries(15.1%),myopia(10.43%),strabismus(9.39%),and congenital cataract(0.63%).CONCLUSION:This is the first and only study,identifing modifiable risk factors in Jordanian children with amblyopia.In their first couple of years of elementary education,many Jordanian children are affected by amblyopia and pass unnoticed.A more governmental effort is needed into screening programs to improve vision in the Jordanian population. | Khalil M.Al-Salem Mohammad S.Saleem Ismat Ereifej Hamzeh M.Alrawashdeh Rayed Falah Hussein Obeidat Asma Ali Abdlmohdi Raeda Zaki Al-Momani Layal Mohammed Hammad Omar Ahmad al-Habahbeh Yaqeen M.Assassfeh Laith Ramzi Najib Al-Qsous Ashraf Hatim Adeeb Nasraween Tariq A.Al Maaitah Deya'-Aldin Muneer Hasan Aqeel Ibtehal Eyadeh Awad Alabdulrazzg Abdullah Mahmoud Mohammad Murad Amany Jehad Faleh AL-Zurqan Enas Jamal Mohammad Jaradat Slsabela Emad Suliman Aldhoon Ala'a Majed Dmour Ahmad Talal Asassfeh Jeries Ayman Halaseh Abdel Aziz Ammar Daoud Waha Ayman Alkasasbeh Kholoud GH.Matar | 2022 | International Journal of Ophthalmology(English edition)2022，15，2： | 1 |
| 3 | Robust and High Accuracy Algorithm for Detection of Pupil Images显示文摘Recently,many researchers have tried to develop a robust,fast,and accurate algorithm.This algorithm is for eye-tracking and detecting pupil position in many applications such as head-mounted eye tracking,gaze-based human-computer interaction,medical applications(such as deaf and diabetes patients),and attention analysis.Many real-world conditions challenge the eye appearance,such as illumination,reflections,and occasions.On the other hand,individual differences in eye physiology and other sources of noise,such as contact lenses or make-up.The present work introduces a robust pupil detection algorithm with and higher accuracy than the previous attempts for real-time analytics applications.The proposed circular hough transform with morphing canny edge detection for Pupillometery(CHMCEP)algorithm can detect even the blurred or noisy images by using different filtering methods in the pre-processing or start phase to remove the blur and noise and finally the second filtering process before the circular Hough transform for the center fitting to make sure better accuracy.The performance of the proposed CHMCEP algorithm was tested against recent pupil detection methods.Simulations and results show that the proposed CHMCEP algorithm achieved detection rates of 87.11,78.54,58,and 78 according to´Swirski,ExCuSe,Else,and labeled pupils in the wild(LPW)data sets,respectively.These results show that the proposed approach performs better than the other pupil detection methods by a large margin by providing exact and robust pupil positions on challenging ordinary eye pictures. | Waleed El Nahal Hatim G.Zaini Raghad H.Zaini Sherif S.M.Ghoneim Ashraf Mohamed Ali Hassan | 2022 | Computers, Materials & Continua2022，，10： | 0 |
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