Abstract: In recent years, medical image analysis, particularly neuroimaging, has experienced remarkable advancements, with Magnetic Resonance Imaging (MRI) greatly helping in diagnosing complex ...
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 ...
Marketers have long relied on simple demographic categories, including age, gender, income and region, to build segments and classifications. It’s convenient, easily understood and readily available ...
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 ...
Delta Air Lines is studying how to segment its premium cabins. The airline could offer different options that are similar to changes it's made in the coach cabin. Other airlines offer more spacious ...
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 ...
ABSTRACT: Objective: Renal dynamic imaging, as an important tool for assessing renal function, is commonly used to test the perfusion and excretory functions of the kidney. In clinical diagnosis, ...
ABSTRACT: Objective: Renal dynamic imaging, as an important tool for assessing renal function, is commonly used to test the perfusion and excretory functions of the kidney. In clinical diagnosis, ...
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