Medical image analysis using convolutional neural networks: a review
The science of solving clinical problems by analyzing images generated in clinical practice
is known as medical image analysis. The aim is to extract information in an affective and …
is known as medical image analysis. The aim is to extract information in an affective and …
Change detection techniques for remote sensing applications: A survey
A Asokan, J Anitha - Earth Science Informatics, 2019 - Springer
Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
M Abdel-Basset, V Chang, R Mohamed - Applied soft computing, 2020 - Elsevier
Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation
FS Gharehchopogh, T Ibrikci - Multimedia Tools and Applications, 2024 - Springer
Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
A novel evolutionary arithmetic optimization algorithm for multilevel thresholding segmentation of covid-19 ct images
One of the most crucial aspects of image segmentation is multilevel thresholding. However,
multilevel thresholding becomes increasingly more computationally complex as the number …
multilevel thresholding becomes increasingly more computationally complex as the number …
A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy
M Abdel-Basset, R Mohamed, M Elhoseny… - IEEE …, 2020 - ieeexplore.ieee.org
Many countries are challenged by the medical resources required for COVID-19 detection
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …
Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation
M Abd El Aziz, AA Ewees, AE Hassanien - Expert Systems with Applications, 2017 - Elsevier
Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …
recent years since it has many applications. There are several methods used to find the …
Opposition based learning: A literature review
Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
GeoAI for large-scale image analysis and machine vision: Recent progress of artificial intelligence in geography
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …
spatial analytics in Geography. Although much progress has been made in exploring the …
Dynamic harris hawks optimization with mutation mechanism for satellite image segmentation
In this paper, a novel satellite image segmentation technique based on dynamic Harris
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …