An improved dolphin swarm algorithm based on Kernel Fuzzy C-means in the application of solving the optimal problems of large-scale function
W Qiao, Z Yang - Ieee Access, 2019 - ieeexplore.ieee.org
The solution of high dimensional function has always been a hot topic. In this paper, a novel
algorithm based on Kernel Fuzzy C-means and dolphin swarm algorithm are proposed to …
algorithm based on Kernel Fuzzy C-means and dolphin swarm algorithm are proposed to …
Classification and Diagnosis of Alzheimer's Disease based on a combination of Deep Features and Machine Learning
M Saim, F Amel - 2022 7th International Conference on Image …, 2022 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a neurodegenerative illness that causes structural changes in
the brain over time. Furthermore, various symptoms, most notably memory disorder, relate to …
the brain over time. Furthermore, various symptoms, most notably memory disorder, relate to …
[PDF][PDF] Hybrid segmentation approach for different medical image modalities
W El-Shafai, AA Mahmoud… - CMC-COMPUTERS …, 2022 - cdn.techscience.cn
The segmentation process requires separating the image region into sub-regions of similar
properties. Each sub-region has a group of pixels having the same characteristics, such as …
properties. Each sub-region has a group of pixels having the same characteristics, such as …
Micro‐segmentation of retinal image lesions in diabetic retinopathy using energy‐based fuzzy C‐Means clustering (EFM‐FCM)
Diabetic retinopathy (DR) is a prevalent cause of global visual impairment, contributing to
approximately 4.8% of blindness cases worldwide as reported by the World Health …
approximately 4.8% of blindness cases worldwide as reported by the World Health …
Review of various Artificial Intelligence Techniques and its applications
With the upgrading needs of automation and prediction requirements in the industries,
automation for improving the quality of the product and prediction of the product cycle to …
automation for improving the quality of the product and prediction of the product cycle to …
MRI retinal image segmentation using integrated approach of fuzzy c-means clustering, and active contouring
In order to locate the different objects, shapes and structures in digital images, segmentation
is the most acceptable and popular choice. This paper combines fuzzy c-means clustering …
is the most acceptable and popular choice. This paper combines fuzzy c-means clustering …
Agrupamiento difuso titubeante para tareas de segmentación de imágenes y reconocimiento de patrones
VV Vela Rincon - 2022 - 51.143.95.221
Entre las distintas áreas de la Inteligencia Artificial se encuentra el Reconocimiento de
Patrones y la Visión por Computadora, que se han beneficiado utilizando los métodos de …
Patrones y la Visión por Computadora, que se han beneficiado utilizando los métodos de …
[PDF][PDF] Enhanced Image Segmentation: Merging Fuzzy K-Means and Fuzzy C-Means Clustering Algorithms for Medical Applications
KM Aljebory, TS Mohammed… - Computer Science and …, 2021 - researchgate.net
Separating an image into regions according to some criterion is called image segmentation.
This paper presents an algorithm that combines the fuzzy k-means (FKM) and fuzzy c-means …
This paper presents an algorithm that combines the fuzzy k-means (FKM) and fuzzy c-means …
Effect of Data Parameters and Seeding on k-Means and k-Medoids
P Olukanmi, F Nelwamondo… - … Conference on Artificial …, 2020 - ieeexplore.ieee.org
k-means and k-medoids are arguably the two most popular clustering methods. This paper
reports an empirical study of the relative (de) merits of these two methods. We compare their …
reports an empirical study of the relative (de) merits of these two methods. We compare their …
A Novel Computer Aided Diagnosis System for Lung Tumor Based on Support Vector Machine
R Mothkur, KM Poornima - … Conference on Image Processing and Capsule …, 2022 - Springer
A quick internet search reveals that lung cancer kills more people each year than colon,
breast, and prostate cancers. These frightening facts prompted us to deeply look into the …
breast, and prostate cancers. These frightening facts prompted us to deeply look into the …