Zahraa M. Mosa- Msc
- Assistant lecturer at Nahrain University
Zahraa M. Mosa
- Msc
- Assistant lecturer at Nahrain University
About
8
Publications
4,642
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
159
Citations
Introduction
Skills and Expertise
Current institution
Publications
Publications (8)
Citation: Al-Timemy, A.H.; Alzubaidi, L.; Mosa, Z.M.; Abdelmotaal, H.; Ghaeb, N.H.; Lavric, A.; Hazarbasanov, R.M.; Takahashi, H.; Gu, Y.; Yousefi, S. A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning. Diagnostics 2023, 13, 1689. https://doi. Abstract: Detection of early clinical keratoconus (KCN) is a challenging...
Purpose: To develop and assess the accuracy of a hybrid deep learning construct for detecting keratoconus (KCN) based on corneal topographic maps.
Methods: We collected 3794 corneal images from 542 eyes of 280 subjects and developed seven deep learning models based on anterior and posterior eccentricity, anterior and posterior elevation, anterior...
Clinicians in the frontline need to assess quickly whether a patient with symptoms indeed has COVID-19 or not. The difficulty of this task is exacerbated in low resource settings that may not have access to biotechnology tests. Furthermore, Tuberculosis (TB) remains a major health problem in several low- and middle-income countries and its common s...
Clinical keratoconus (KCN) detection is a challenging and time-consuming task. In the diagnosis process, ophthalmologists must revise demographic and clinical ophthalmic examinations. The latter include slit-lamb, corneal topographic maps, and Pentacam indices (PI). We propose an Ensemble of Deep Transfer Learning (EDTL) based on corneal topographi...
Clinicians in the frontline need to assess quickly whether a patient with symptoms indeed has COVID-19 or not. The difficulty of this task is exacerbated in low resource settings that may not have access to biotechnology tests. Furthermore, Tuberculosis (TB) remains a major health problem in several low- and middle-income countries and its common s...
Researchers used different methods such as image processing and machine learning techniques in addition to medical instruments such as Placido disc, Keratoscopy, Pentacam;to help diagnosing variety of diseases that affect the eye. Our paper aims to detect one of these diseases that affect the cornea, which is Keratoconus. This is done by using imag...
In recent years many researchers tried to find an accurate method to diagnose eye disease, researchers used different methods and devices for that. In this paper a method is present which depends on the details extracted from the topographic maps to detect Keratoconus (KC) that affects the cornea in diseased eye; with the help of image processing t...
