MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and …
H Zhang, J Liu, Z Yu, P Wang - Neurocomputing, 2021 - Elsevier
Efficient analysis of Haematoxylin and Eosin stained histopathology images has become a
challenge in digital pathology work-flow. We propose a Multi-view Attention Superpixel …
challenge in digital pathology work-flow. We propose a Multi-view Attention Superpixel …
Robust superpixel-based fuzzy possibilistic clustering method incorporating local information for image segmentation
C Wu, J Zhao - The Visual Computer, 2024 - Springer
In recent years, several superpixel-segmentation methods have been developed to
efficiently segment noisy images. However, these methods still face challenges such as high …
efficiently segment noisy images. However, these methods still face challenges such as high …
Remote Sensing Image Segmentation Based on Hierarchical Student'st Mixture Model and Spatial Constrains with Adaptive Smoothing
X Shi, Y Wang, Y Li, S Dou - Remote Sensing, 2023 - mdpi.com
Image segmentation is an important task in image processing and analysis but due to the
same ground object having different spectra and different ground objects having similar …
same ground object having different spectra and different ground objects having similar …
Multi-threshold segmentation with exponential entropy based on co-occurrence matrix and intelligent optimization algorithm
J Ai, J Fan - Proceedings of the 2023 6th International Conference …, 2023 - dl.acm.org
The co-occurrence matrix is a way to describe the spatially relevant information of an image.
The image thresholding method based on the co-occurrence matrix has its advantages over …
The image thresholding method based on the co-occurrence matrix has its advantages over …