When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

In today’s competitive market, companies must rethink how they connect with customers. Market segmentation—the practice of dividing a broad market into subgroups based onshared characteristics—has ...

Abstract: Particularly in agricultural contexts where exact delineation of land cover types is vital for resource management and planning, semantic segmentation is a key technique for high-resolution ...

This project implements a machine learning model based on the UNet architecture for nuclei instance segmentation. It was developed as part of a university project. Nuclei instance segmentation plays a ...

For a detailed project overview, architecture diagrams, code explanations, and next steps, please refer to the full write‑up (PDF): ├─ ETL/ # Data extraction & mask generation utilities ├─ dataset.py ...