The clustering method known as Adaptive Fuzzy K ... means clustering. The segmented image is analysed both qualitatively and quantitatively. The results demonstrate that the proposed method is ...

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of ...

QUT robotics researchers have developed a new robot navigation system that mimics the neural processes of the human brain and ...

We address the drawbacks of the conventional watershed algorithm when it is applied to medical images by using k-means clustering to produce a primary segmentation of the image before we apply our ...

What the technology can do today—and what’s next by Thomas H. Davenport, Abhijit Guha and Dhruv Grewal Of all a company’s functions, marketing has perhaps the most to gain from artificial ...

Mapping the vascular organization of the brain is of great importance ... macaque monkey brains. We scaled image resolution to meet specific requirements, aiming to delineate cortical layers and ...

You can view the notebook with all outputs and results on Kaggle: https://www.kaggle.com/code/evangelosgakias/k-means-clust All metrics, plots, and outputs are ...