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Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images

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₹5,500.00

Aim:

        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.

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Recent Advances in Deep-Learning Based SAR Image Target Detection and Recognition

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₹5,500.00

Aim:

        To develop a lightweight, accurate, and high-performance YOLO-v11n model for detecting and classifying multi-class targets—ships, aircraft, oil spills, oil tanks, and military vehicles—from SAR and aerial images in real-time with low computational complexity.

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