BioVision: AI Disease Segmentation

Overview

BioVision: AI Disease Segmentation focuses on leveraging deep learning models for semantic segmentation of diseases in chest X-rays. By utilizing advanced U-Net and U-Net++ architectures, this project aims to assist in early diagnosis and improved treatment planning.

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Key Highlights

• Dataset: The ChestX-Det dataset was converted to COCO format, enabling model training on true masks for accurate segmentation.
• Models Used: U-Net and U-Net++.
• Performance: Achieved mean IoUs of 0.88 (U-Net) and 0.86 (U-Net++) across all classes.

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