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 ...
1 College of Mathematics and Computer Science, Dali University, Dali, China 2 School of Electronic Information, Xijing University, Xian, China Introduction: Image instance segmentation is essential ...
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 ...
U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...
Abstract: The semi-supervised fuzzy C-means clustering algorithm is an improved version of the fuzzy C-means algorithm, designed to utilize a small amount of supervised information to enhance the ...
Human nature craves connection, so much so that we seek it almost everywhere we can find it – at social events, in our jobs, and now online in micro-communities. The desire to feel camaraderie and a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results