41 citations · 57 across the 3 of their papers we have counts for
3 papers
CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection
Mohammed El Amine Lazouni, Leila Ryma Lazouni, Zineb Aziza Elaouaber +8
In this paper, we present CornOrb, a publicly accessible multimodal dataset of Orbscan corneal topography images and clinical annotations collected from patients in Algeria. The da…
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks
Laith Alzubaidi, J. Santamaría, Mohamed Manoufali +6
Deep Learning (DL) requires a large amount of training data to provide quality outcomes. However, the field of medical imaging suffers from the lack of sufficient data for properly…
An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
Ali H. Al-Timemy, Rami N. Khushaba, Zahraa M. Mosa +1
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 t…