AIMC Journal:
Computer methods and programs in biomedicine

Showing 421 to 430 of 844 articles

BH-index: A predictive system based on serum biomarkers and ensemble learning for early colorectal cancer diagnosis in mass screening.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Colorectal cancer is one of the most common malignancies among the general population. Artificial Intelligence methodologies based on serum parameters are in continuous development to obtain less expensive tools for highly s...

One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Screening children for communicational disorders such as specific language impairment (SLI) is always challenging as it requires clinicians to follow a series of steps to evaluate the subjects. Artificial intelligence and co...

Deep learning network for medical volume data segmentation based on multi axial plane fusion.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: High-dimensional data generally contains more accurate information for medical image, e.g., computerized tomography (CT) data can depict the three dimensional structure of organs more precisely. However, the data in high-dim...

Deep embeddings and logistic regression for rapid active learning in histopathological images.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Recognizing different tissue components is one of the most fundamental and essential works in digital pathology. Current methods are often based on convolutional neural networks (CNNs), which need numerous annotated samples ...

Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Bone age assessment (BAA) is widely used in determination of discrepancy between skeletal age and chronological age. Manual approaches are complicated which require experienced experts, while existing automatic approaches a...

Information fusion and multi-classifier system for miner fatigue recognition in plateau environments based on electrocardiography and electromyography signals.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Human factors are important contributors to accidents, especially human error induced by fatigue. In this study, field tests and analyses were conducted on physiological indexes extracted from electrocardiography (ECG) and e...

Deep learning based microscopic cell images classification framework using multi-level ensemble.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Advancement of the ultra-fast microscopic images acquisition and generation techniques give rise to the automated artificial intelligence (AI)-based microscopic images classification systems. The earlier cell classification...

A disease-specific language representation model for cerebrovascular disease research.

Computer methods and programs in biomedicine
BACKGROUND: Effectively utilizing disease-relevant text information from unstructured clinical notes for medical research presents many challenges. BERT (Bidirectional Encoder Representation from Transformers) related models such as BioBERT and Clini...

Open source Vicon Toolkit for motion capture and Gait Analysis.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The Vicon motion capture system is a popular tool for biomechanics, gait analysis, and robotics. The ASCII files produced are large and complex, making them difficult to read and analyze.

Paroxysmal atrial fibrillation prediction based on morphological variant P-wave analysis with wideband ECG and deep learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is one of the most frequent asymptomatic arrhythmias associated with significant morbidity and mortality. Identifying the susceptibility to AF based on routine or continuous ECG recording is of consi...