Liver Cancer Algorithm: A novel bio-inspired optimizer
This paper introduces a new bio-inspired optimization algorithm named the Liver Cancer
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …
Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection
The identification of tumors through gene analysis in microarray data is a pivotal area of
research in artificial intelligence and bioinformatics. This task is challenging due to the large …
research in artificial intelligence and bioinformatics. This task is challenging due to the large …
Multi-threshold Image Segmentation based on an improved Salp Swarm Algorithm: Case study of breast cancer pathology images
H Guo, M Li, H Liu, X Chen, Z Cheng, X Li, H Yu… - Computers in Biology …, 2024 - Elsevier
Breast cancer poses a significant risk to women's health, and it is essential to provide proper
diagnostic support. Medical image processing technology is a key component of all …
diagnostic support. Medical image processing technology is a key component of all …
An enhanced chameleon swarm algorithm for global optimization and multi-level thresholding medical image segmentation
RR Mostafa, EH Houssein, AG Hussien… - Neural Computing and …, 2024 - Springer
Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …
particularly in post-processing tasks such as analysis and disease identification …
An improved honey badger algorithm for global optimization and multilevel thresholding segmentation: real case with brain tumor images
Global optimization and biomedical image segmentation are crucial in diverse scientific and
medical fields. The Honey Badger Algorithm (HBA) is a newly developed metaheuristic that …
medical fields. The Honey Badger Algorithm (HBA) is a newly developed metaheuristic that …
An enhanced Coati Optimization Algorithm for global optimization and feature selection in EEG emotion recognition
Emotion recognition based on Electroencephalography (EEG) signals has garnered
significant attention across diverse domains including healthcare, education, information …
significant attention across diverse domains including healthcare, education, information …