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Project
completed
2025
Breast Cancer Ultrasound CAD (Segmentation + Classification)
Multi-task learning for medical image segmentation and diagnosis support
Computer vision project on BUSI ultrasound images comparing multi-task vs sequential pipelines. Implemented U-Net with EfficientNet encoder and evaluated segmentation (Dice/IoU) alongside classification performance.
Computer Vision
AI/ML
Healthcare
Developer
Research
Timeline
2025
Type
Project
Status
completed
Outcome / Impact
- •Segmentation reached Dice 0.7648 and IoU 0.6233 on BUSI
- •Multi-task setup improved classification accuracy to 0.853 (vs 0.620 sequential)
Tech / Skills
PyTorch
U-Net
EfficientNet
OpenCV
Medical Imaging
Case Study
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