IEEE

Image Semantic Segmentation Algorithm Based on U-Net

Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...
Tech Xplore

One image is all robots need to find their way

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...
Frontiers

Research on breast tumor segmentation based on the Mamba architecture

1 Anhui University of Chinese Medicine, Hefei, China 2 College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China Medical image segmentation is fundamental ...
Nanowerk

AI rebuilds 3D structures from 2D microscope images with speed and precision

An AI algorithm converts 2D electron microscope images into accurate 3D structures, cutting analysis time and cost to one-eighth while preserving precision. The newly developed algorithm requires ...
Frontiers

Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
Scientific Research Publishing

Cai, W., Chen, S. and Zhang, D. (2007) Fast and Robust Fuzzy C-Means Clustering Algorithms Incorporating Local Information for Image Segmentation. Pattern Recognition, 40, 825-838.

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
Scientific Research Publishing

Ng, H.P., Ong, S.H., Foong, K.W.C., Goh, P.S. and Nowinski, W.L. Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm. 2006 IEEE Southwest ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
IEEE

Image Segmentation Algorithm Based On Clustering

Abstract: Image segmentation plays an important role in image processing. Image segmentation algorithms have been proposed as early as the last century, and constantly find and optimize various ...