Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, the large vision model ...

Abstract: Brain tissue segmentation is critical for diagnosing and treating brain diseases, but noise introduced during MRI image acquisition can compromise downstream tasks. To address this, we ...

├── src/ # Source code │ ├── instance_segmentation.py # Core segmentation implementation │ └── data_generator.py # Synthetic data generation ├── web_app/ # Web interface │ └── app.py # Streamlit ...

The discovery that tissues use electricity to expel unhealthy cells is part of a surge of renewed interest in the currents flowing through our bodies. We’re used to thinking of the brain as an ...

Abstract: Tumor segmentation is crucial for surgical planning and precise tumor resection for effective treatment. Traditionally, tumor localization has been performed using medical imaging techniques ...