-
Article
Breast lesions on MRI in mass and non-mass enhancement: Kaiser score and modified Kaiser score + for readers of variable experience
To compare the diagnostic performance of three readers using BI-RADS and Kaiser score (KS) based on mass and non-mass enhancement (NME) lesions.
-
Article
Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method
Stochastic optimization has been found in many applications, especially for several local optima problems, because of their ability to explore and exploit various zones of the feature space regardless of their...
-
Article
Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems
There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its simple framework, it has been widely used in many fields. But when handling some complicated optimization problems, especi...
-
Article
Moderate-Severe White Matter Lesion Predicts Delayed Intraventricular Hemorrhage in Intracerebral Hemorrhage
Most existing studies have focused on the correlation between white matter lesion (WML) and baseline intraventricular hemorrhage (IVH) in patients with intracerebral hemorrhage (ICH), whereas few studies have ...
-
Article
Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds
PET-based radiomics features could predict the biological characteristics of primary prostate cancer (PCa). However, the optimal thresholds to predict the biological characteristics of PCa are unknown. This st...
-
Article
Adaptive Barebones Salp Swarm Algorithm with Quasi-oppositional Learning for Medical Diagnosis Systems: A Comprehensive Analysis
The Salp Swarm Algorithm (SSA) may have trouble in drop** into stagnation as a kind of swarm intelligence method. This paper developed an adaptive barebones salp swarm algorithm with quasi-oppositional-based...
-
Article
Open AccessGeneralized Oppositional Moth Flame Optimization with Crossover Strategy: An Approach for Medical Diagnosis
In the original Moth-Flame Optimization (MFO), the search behavior of the moth depends on the corresponding flame and the interaction between the moth and its corresponding flame, so it will get stuck in the l...
-
Article
Open AccessElevated microRNA-125b inhibits cytotrophoblast invasion and impairs endothelial cell function in preeclampsia
Preeclampsia (PE) is a life-threatening disorder of human pregnancy affecting 5–8% of all pregnancies. Currently, PE remains an elusive complicated and heterogenous medical condition with no early marker or sy...
-
Article
Shortest path with backtracking based automatic layer segmentation in pathological retinal optical coherence tomography images
Optical coherence tomography (OCT) is a high-resolution and non-invasive imaging modality that has become one of the most prevalent techniques for ophthalmic diagnosis. Retinal layer segmentation is crucial fo...
-
Article
Identification of candidate diagnostic and prognostic biomarkers for human prostate cancer: RPL22L1 and RPS21
Prostate cancer (PCa) is one of the most common malignancies in men worldwide. This study was designed to investigate the potential of Ribosomal Protein L22-like1 (RPL22L1) and Ribosomal Protein S21 (RPS21) as...
-
Article
Open AccessAvian leukosis virus subgroup J induces its receptor--chNHE1 up-regulation
Avian leukosis virus subgroup J (ALV-J) is an oncogenic retrovirus which causes immunosuppression and neoplasia in meat-type and egg-type chickens. ALV-J infects host cells via specific interaction between the...
-
Chapter and Conference Paper
Classification of Alzheimer’s Disease Based on Cortical Thickness Using AdaBoost and Combination Feature Selection Method
In this research, using the idea of ensemble, we designed and applied a new supervised learning algorithm for classification of Alzheimer’s disease (AD). Using MRI cortical surface-based analysis, cortical thi...
