Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
An overview of biomedical image analysis from the deep learning perspective
Biomedical image analysis methods are gradually shifting towards computer-aided solutions
from manual investigations to save time and improve the quality of the diagnosis. Deep …
from manual investigations to save time and improve the quality of the diagnosis. Deep …
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Breast cancer is considered one of the significant health challenges and ranks among the
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …
Hierarchical evolutionary construction of neural network models for an Atkinson cycle engine with double injection strategy based on the PSO-Nadam algorithm
X Sun, M **e, F Zhou, X Wu, J Fu, J Liu - Fuel, 2023 - Elsevier
There is a strong nonlinear relationship between the input and output of the Atkinson cycle
engine (ACE), and with the development of artificial intelligence, fitting this nonlinear …
engine (ACE), and with the development of artificial intelligence, fitting this nonlinear …
An extensive investigation into the use of machine learning tools and deep neural networks for the recognition of skin cancer: challenges, future directions, and a …
SI Hussain, E Toscano - Symmetry, 2024 - mdpi.com
Skin cancer poses a serious risk to one's health and can only be effectively treated with early
detection. Early identification is critical since skin cancer has a higher fatality rate, and it …
detection. Early identification is critical since skin cancer has a higher fatality rate, and it …
An advanced approach to detect edges of digital images for image segmentation
S Chakraborty - Applications of advanced machine intelligence in …, 2020 - igi-global.com
Image segmentation has been an active topic of research for many years. Edges
characterize boundaries, and therefore, detection of edges is a problem of fundamental …
characterize boundaries, and therefore, detection of edges is a problem of fundamental …
Application of multiobjective optimization techniques in biomedical image segmentation—a study
Multiobjective optimization methods in image analysis are one of the active research
domains in the current years. These methods are used for the decision-making process in …
domains in the current years. These methods are used for the decision-making process in …
A study on the applications of the biomedical image encryption methods for secured computer aided diagnostics
Computer aided diagnostic is one of the most active research area and has huge impact on
the health care industry. With the advent of intelligent methods, biomedical data processing …
the health care industry. With the advent of intelligent methods, biomedical data processing …
Data security techniques based on DNA encryption
Security of the digital data is one of the major concerns of the today's world. There are
several methods for digital data security that can be found in the literature. Biological …
several methods for digital data security that can be found in the literature. Biological …
Contrast optimization using elitist metaheuristic optimization and gradient approximation for biomedical image enhancement
Biomedical image analysis is one of the most challenging and inevitable part of the
computer aided diagnostic systems. Automated analysis of the image can detect various …
computer aided diagnostic systems. Automated analysis of the image can detect various …