Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images

5,500.00

Aim:

Ā  Ā  Ā  Ā  The project aims to design a lightweight, high-precision breast-mass detection framework using YOLOv11 that can accurately identify lesions in ultrasound images. It seeks to reduce false detections and enable real-time performance on medical imaging systems.

Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography

5,500.00

Aim:

Ā  Ā  Ā  Ā  Aim to build a reliable system that can identify different retinal diseases from OCT images. To create a practical workflow that can analyze images, compare predictions, and flag mistakes for improvement. It combine the strengths of multiple models so the final decision is more accurate and stable.