Index - OphtaLab

Welcome to OphtaLab

Machine learning models and Ophthalmology e-health applications

Why OphtaLab?

OphtaLab is a cloud-based platform that allows us to deploy web applications, including machine learning models and Ophthalmology e-health applications. This will especially help in putting machine learning models into production for testing and improvement.

Our main projects

Ophthalmology Deep Learning Projects

We are in the process of deploying pre-trained DL models for testing..

Electronic Health Records Software

An Ophthalmology Electronic Medical Records (EMR) application was hosted for restricted internal use.

Telemedicine for Ophthalmology

A telehealth application for DR screening is under construction.

AI Projects

We are in the process of deploying pre-trained DL models for testing..

sFAZ Segmentation

Automated measurements of superficial foveal avascular zone biomarkers based on AI-powered sFAZ delineation.

Deployed

DMI Classification

Automated detection and classification of the diabetic macular ischemia using 3×3mm en face OCTA images.

Deployed

NPA Segmentation

Automated quantification of Nonperfusion Area (NPA) in en-face OCTA images using deep learning in diabetic retinopathy.

Under Construction (Exporting)

DR Detection

Automated detection of diabetic retinopathy and diabetic macular edema in retinal fundus photographs..

Under Construction (Data Labeling)

Retinal Lesion Detection

Automated method of localizing and discerning multiple types of findings in retinal images using a set of training data.

Under Construction (Data Acquisition)

Glaucoma Detection

Automated method of segmenting the optic cup and optic disc to find the Cup-to-Disc-Ratio using a set of retinal images.

Under Construction (Data Acquisition)

DATA SETS

OCTA images

Retinal fundus photographs

Glaucoma OCT-VF Reports

FAZ Segmentation

Enhancing Foveal Avascular Zone Analysis with AI Segmentation

Test our deep learning model for superficial foveal avascular zone (sFAZ) segmentation in 3 × 3mm en face optical coherence tomography angiography (OCTA). Automated measurements of sFAZ biomarkers will be generated based on AI-powered sFAZ delineation.

DMI Classification

Automated detection and classification of diabetic macular ischemia

Test our deep learning model for the screening and the classification of diabetic macular ischemia using 3 mm x 3 mm optical coherence tomography angiography (OCTA) of superficial retina.

Electronic Medical Records Software

Ophthalmology Electronic Medical Records Software

Doctorly is a super web app for Ophthalmologists, to maintain all doctors, patients and receptionists of the hospital or clinic. It is a complete solution for hospitals or clinics to manage appointments, prescriptions and invoices online. This system is completely built on the PHP Laravel framework and MySQL. It has a nice and attractive user interface which is very easy to use. This system has a lot of nice features that are needed for hospitals or clinics to manage their patients, doctors and receptionists.

The use of this application is currently restricted to the OphtaLab team

- Doctors daily schedule list.
- Doctor’s Schedule Summary.

- Appointment Booking.
- Appointment Management.
- Appointment Widgets.

- Eye Exam and Vision Testing Details of the Patient.

- Glaucoma Examination and IOP Charts.

- Imaging tests results.

- Prescription Details of the Patient.
- Prescription Management.

Gallery

Enjoy some epic images from our dataset

Doctors

A team of dedicated ophthalmologists united by a shared vision, working collaboratively to explore and test deep learning in the field of ophthalmology