Medical Ethics / Professional Responsibility

A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM.

Class imbalance ubiquitously exists in real life, which has attracted much interest from various domains. Direct learning from imbalanced dataset may pose unsatisfying results overfocusing on the accuracy of identification and deriving a suboptimal model. Various methodologies have been developed in tackling this problem including sampling, cost-sensitive, and other hybrid ones. However, the sampl...

TED: A Tolerant Edit Distance for segmentation evaluation.

In this paper, we present a novel error measure to compare a computer-generated segmentation of images or volumes against ground truth. This measure, which we call Tolerant Edit Distance (TED), is motivated by two observations that we usually encounter in biomedical image processing: (1) Some errors, like small boundary shifts, are tolerable in practice. Which errors are tolerable is application d...

Characterizing Architectural Distortion in Mammograms by Linear Saliency.

Architectural distortion (AD) is a common cause of false-negatives in mammograms. This lesion usually consists of a central retraction of the connecti...

Robust differential expression analysis by learning discriminant boundary in multi-dimensional space of statistical attributes.

BACKGROUND: Performing statistical tests is an important step in analyzing genome-wide datasets for detecting genomic features differentially expresse...

Conceptual Design and Procedure for an Autonomous Intramyocardial Injection Catheter.

This article discusses existing catheter systems and proposes a conceptual design and procedure for an autonomous cell injection catheter for the purp...

DOOB-MARTIN COMPACTIFICATION OF A MARKOV CHAIN FOR GROWING RANDOM WORDS SEQUENTIALLY.

We consider a Markov chain that iteratively generates a sequence of random finite words in such a way that the word is uniformly distributed over the...

Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation.

As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative impact on the quality of life due to its symptoms i...

Pancreas Segmentation in MRI using Graph-Based Decision Fusion on Convolutional Neural Networks.

Automated pancreas segmentation in medical images is a prerequisite for many clinical applications, such as diabetes inspection, pancreatic cancer dia...

Classification of amyloid status using machine learning with histograms of oriented 3D gradients.

Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using standardised uptake value ratios. Using these rati...

A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection.

This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In this, the membership functions of the fuzzy system ...

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.

Robust and fast solutions for anatomical object detection and segmentation support the entire clinical workflow from diagnosis, patient stratification...

Exchanging expertise and constructing boundaries: The development of a transnational knowledge network around heroin-assisted treatment.

Over the last 20 years, supervised injectable and inhalable heroin prescribing has been developed, tested and in some cases introduced as a second lin...

Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.

Identification and detection of dendritic spines in neuron images are of high interest in diagnosis and treatment of neurological and psychiatric diso...

Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.

Following the unconventional gas revolution, the forecasting of natural gas prices has become increasingly important because the association of these ...

A novel fuzzy logic-based image steganography method to ensure medical data security.

This study aims to secure medical data by combining them into one file format using steganographic methods. The electroencephalogram (EEG) is selected...

Superficial Zone Extracellular Matrix Extracts Enhance Boundary Lubrication of Self-Assembled Articular Cartilage.

OBJECTIVE: Previous work has shown that increasing the production of boundary lubricant, superficial zone protein (SZP), did not reduce the friction c...

Hedge Scope Detection in Biomedical Texts: An Effective Dependency-Based Method.

Hedge detection is used to distinguish uncertain information from facts, which is of essential importance in biomedical information extraction. The ta...

Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs.

Support Vector Machines (SVMs) form a family of popular classifier algorithms originally developed to solve two-class classification problems. However...

Fast Computation of Hemodynamic Sensitivity to Lumen Segmentation Uncertainty.

Patient-specific blood flow modeling combining imaging data and computational fluid dynamics can aid in the assessment of coronary artery disease. Acc...

Investigating the use of support vector machine classification on structural brain images of preterm-born teenagers as a biological marker.

Preterm birth has been shown to induce an altered developmental trajectory of brain structure and function. With the aid support vector machine (SVM) ...