Slime mould algorithm: a comprehensive review of recent variants and applications
Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …
because of its simple structure, excellent optimisation capabilities, and acceptable …
Optimal allocation of electric vehicle charging stations and renewable distributed generation with battery energy storage in radial distribution system considering time …
K Balu, V Mukherjee - Journal of Energy Storage, 2023 - Elsevier
The addition of electric vehicle (EV) charging station (EVCS)/EV battery swap** stations
(EVBSSs) in radial distribution system (RDS) draws extra real power from the distribution …
(EVBSSs) in radial distribution system (RDS) draws extra real power from the distribution …
BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images
Breast cancer is considered the most commonly diagnosed cancer globally and falls second
to lung cancer. For the early detection of breast tumors in women, breast cancer analysis …
to lung cancer. For the early detection of breast tumors in women, breast cancer analysis …
A Comprehensive Survey of Multi-Level Thresholding Segmentation Methods for Image Processing
M Amiriebrahimabadi, Z Rouhi, N Mansouri - Archives of Computational …, 2024 - Springer
In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …
regions of interest in images by identifying intensity levels that differentiate different …
Breast DCE-MRI segmentation for lesion detection using chimp optimization algorithm
The high prevalence of breast cancer in women has increased dramatically in recent times.
Physician's knowledge in breast cancer diagnosis and detection using computerized …
Physician's knowledge in breast cancer diagnosis and detection using computerized …
A novel medical image segmentation approach by using multi-branch segmentation network based on local and global information synchronous learning
S **, S Yu, J Peng, H Wang, Y Zhao - Scientific Reports, 2023 - nature.com
In recent years, there have been several solutions to medical image segmentation, such as
U-shaped structure, transformer-based network, and multi-scale feature learning method …
U-shaped structure, transformer-based network, and multi-scale feature learning method …
Modified artificial ecosystem-based optimization for multilevel thresholding image segmentation
Multilevel thresholding is one of the most effective image segmentation methods, due to its
efficiency and easy implementation. This study presents a new multilevel thresholding …
efficiency and easy implementation. This study presents a new multilevel thresholding …
Swin transformer-based fork architecture for automated breast tumor classification
Breast cancer constitutes a prevalent and escalating health concern globally. Additionally,
the significance of early diagnosis for effective treatment cannot be overstated. Ultrasound …
the significance of early diagnosis for effective treatment cannot be overstated. Ultrasound …
An IoT-based framework and ensemble optimized deep maxout network model for breast cancer classification
Internet of Things (IoT) plays an essential role in the area of the healthcare system. IoT
devices provide information about patients in the healthcare monitoring framework …
devices provide information about patients in the healthcare monitoring framework …
Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task
The analysis of breast cancer using Ultrasounds, Magnetic resonance imaging (MRI), and
Mammogram images plays a crucial role in the early detection of breast tumors in women …
Mammogram images plays a crucial role in the early detection of breast tumors in women …