An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm
EH Houssein, DA Abdelkareem, MM Emam… - Computers in Biology …, 2022 - Elsevier
Skin cancer is one of the worst cancers nowadays that poses a severe threat to the health
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …
[HTML][HTML] Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
EH Houssein, MM Emam, AA Ali - Expert Systems with Applications, 2021 - Elsevier
Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …
the body parts that indicate an abnormal change in temperature. Various segmentation …
[HTML][HTML] Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images
EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2021 - Springer
Abstract Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to
people's safety and health. Many algorithms were developed to identify COVID-19. One way …
people's safety and health. Many algorithms were developed to identify COVID-19. One way …
A multilevel thresholding algorithm using LebTLBO for image segmentation
Segmentation is considered as one of the most significant tasks in image processing. It
consists of separating the pixels into different segments based on their intensity level …
consists of separating the pixels into different segments based on their intensity level …
[HTML][HTML] 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 …
Evolutionary inspired approach for mental stress detection using EEG signal
Stress is a pensive issue in our competitive world and it has a huge impact on physical and
mental health. Severe health issues may arise due to long exposure of stress. Hence, its …
mental health. Severe health issues may arise due to long exposure of stress. Hence, its …
A feature level image fusion for Night-Vision context enhancement using Arithmetic optimization algorithm based image segmentation
Images are fused to produce a composite image by combining key characteristics of the
source images in image fusion. It makes the fused image better for human vision and …
source images in image fusion. It makes the fused image better for human vision and …
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
SH Karaddi, LD Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract According to the World Health Organization (WHO), Pneumonia, COVID-19,
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Modified grasshopper algorithm-based multilevel thresholding for color image segmentation
Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …
much attention during the past few years. The Tsallis entropy method is implemented for its …