Advanced clustering techniques for speech signal enhancement: A review and metanalysis of fuzzy c-means, k-means, and kernel fuzzy c-means methods
AA Abdullah, AM Ahmed, T Rashid, H Veisi… - ar** accurate diagnoses
and effective treatment strategies. Still, the quality and interpretability of medical images are …
and effective treatment strategies. Still, the quality and interpretability of medical images are …
A ROBUST ENSEMBLE SEGMENTATION APPROACH AND OPPOSITION-BASED RAIN OPTIMIZATION ALGORITHM FOR ENHANCING ACUTE LYMPHOBLASTIC …
M Abirami, GVS George, D Sam - … Engineering: Applications, Basis …, 2024 - World Scientific
Generally, leukemia is one of the blood cancers that can lead to death. A huge amount of
immature WBCs in the bone marrow affect the healthy cells and this has become the leading …
immature WBCs in the bone marrow affect the healthy cells and this has become the leading …
Image Segmentation Using Hybrid Clustering Algorithms for Machine Learning-Based Skin Cancer Identification
R Maulana, DC Interiesta, AK Sofy… - Journal of Computer …, 2024 - jurnal.umsu.ac.id
Early identification of skin cancer is crucial to increasing the chances of a cure and reducing
mortality rates. This research aims to develop a method for identifying skin cancer using …
mortality rates. This research aims to develop a method for identifying skin cancer using …
An Hybridization Method of Clustering Images Using Artificial Ants Model (CLAntIMG)
Image clustering is an unsupervised learning task that primary function is to categorise and
extract the image's valuable attributes. Many techniques like data augmentation and …
extract the image's valuable attributes. Many techniques like data augmentation and …