Bio-inspired computation: Where we stand and what's next

J Del Ser, E Osaba, D Molina, XS Yang… - Swarm and Evolutionary …, 2019 - Elsevier
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings

R Gautam, P Kaur, M Sharma - Progress in Artificial Intelligence, 2019 - Springer
Diabetes and cancer are two major life-threatening human chronic disorders that have a
high rate of disability and mortality. These diseases have been diagnosed using different …

Brain tumor diagnosis using a step-by-step methodology based on courtship learning-based water strider algorithm

W Ren, AH Bashkandi, JA Jahanshahi… - … Signal Processing and …, 2023 - Elsevier
Medical imaging plays an essential function in the management of brain tumors for
diagnosis and assortment. Today, MRI images are used to diagnose brain tumors because …

[PDF][PDF] A survey on application of bio-inspired algorithms

C Selvaraj, RS Kumar, M Karnan - International Journal of Computer …, 2014 - Citeseer
The algorithms that are inspired by the principles of natural biological evolution and
distributed collective behaviour of social colonies have shown excellence in dealing with …

Brain tumor segmentation using OTSU embedded adaptive particle swarm optimization method and convolutional neural network

S Vijh, S Sharma, P Gaurav - Data Visualization and Knowledge …, 2020 - Springer
Medical imaging and deep learning have tremendously shown improvement in research
field of brain tumor segmentation. Data visualization and exploration plays important role in …

An improved jellyfish algorithm for multilevel thresholding of magnetic resonance brain image segmentations

M Abdel-Basset, R Mohamed… - Computers …, 2021 - researchprofiles.canberra.edu.au
Image segmentation is vital when analyzing medical images, especially magnetic
resonance (MR) images of the brain. Recently, several image segmentation techniques …

Efficient framework for identifying, locating, detecting and classifying MRI brain tumor in MRI images

T Pandiselvi, R Maheswaran - Journal of medical systems, 2019 - Springer
Image processing has plays vital role in today's technological world. It can be applied in
numerous application areas such as medical, remote sensing, computer vision etc. Brain …

Brain tumor segmentation using extended Weiner and Laplacian lion optimization algorithm with fuzzy weighted k-mean embedding linear discriminant analysis

S Vijh, HM Pandey, P Gaurav - Neural Computing and Applications, 2023 - Springer
This paper presents an efficient skull stripping method to improve the decision-making
process. Extended Weiner filtering (EWF) is used for removing the noise and enhancing the …

A survey of brain MRI image segmentation methods and the issues involved

R Hiralal, HP Menon - Intelligent Systems Technologies and Applications …, 2016 - Springer
This paper presents a survey on the existing methods for segmentation of brain MRI images.
Segmentation of brain MRI images has been widely used as a preprocessing, for projects …

Meta-heuristic techniques to train artificial neural networks for medical image classification: A review

D Kumar - Recent Advances in Computer Science and …, 2022 - ingentaconnect.com
Medical imaging has been utilized in various forms in clinical applications for better
diagnosis and treatment of diseases. These imaging technologies help in recognizing …