About

Lightweight-AI is a next-generation deep learning platform designed for speed, portability, and real-world deployment—especially in medical imaging. Our framework enables high-accuracy, low-latency AI even on resource-constrained hardware.

Key Features

• Ultra-efficient lightweight neural networks for edge & cloud.
• Open-source Python API: PyPI
• Patent granted on core imaging methods.
• Real-time screening on laptops, Raspberry Pi, embedded devices.
• Validated on multicenter ophthalmic datasets.

Glaucoma, a leading cause of blindness, requires accurate early detection. The AI-GS network uses lightweight segmentation + classification pipelines to analyze fundus images and detect structural risk factors.

AIGS Network: End-to-End Screening Workflow

Figure 1. Overview of the AIGS portable screening system.

Detection, diagnosis, and treatment of ophthalmic diseases depend on extracting structural and functional information from images. Our lightweight deep learning model (LWBNA-Unet), ~10× lighter than UNet, enables real-time analysis.

Lightweight Deep Learning Model Architecture

Figure 2. Efficient neural architecture for medical imaging.

Members

• Team list coming soon.

Get Started:

• Read our papers: npj Digital Medicine, Scientific Reports
• Install via pip: pip install Lightweight-AI
• View PyPI Project: PyPI page