AIMC Topic: Algorithms

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Automated discrimination of dicentric and monocentric chromosomes by machine learning-based image processing.

Microscopy research and technique
Dose from radiation exposure can be estimated from dicentric chromosome (DC) frequencies in metaphase cells of peripheral blood lymphocytes. We automated DC detection by extracting features in Giemsa-stained metaphase chromosome images and classifyin...

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.

IEEE transactions on medical imaging
Automated tissue characterization is one of the most crucial components of a computer aided diagnosis (CAD) system for interstitial lung diseases (ILDs). Although much research has been conducted in this field, the problem remains challenging. Deep l...

Two-Swim Operators in the Modified Bacterial Foraging Algorithm for the Optimal Synthesis of Four-Bar Mechanisms.

Computational intelligence and neuroscience
This paper presents two-swim operators to be added to the chemotaxis process of the modified bacterial foraging optimization algorithm to solve three instances of the synthesis of four-bar planar mechanisms. One swim favors exploration while the seco...

Multiple classifier systems for automatic sleep scoring in mice.

Journal of neuroscience methods
BACKGROUND: Electroencephalogram (EEG) and electromyogram (EMG) recordings are often used in rodents to study sleep architecture and sleep-associated neural activity. These recordings must be scored to designate what sleep/wake state the animal is in...

A categorical analysis of coreference resolution errors in biomedical texts.

Journal of biomedical informatics
BACKGROUND: Coreference resolution is an essential task in information extraction from the published biomedical literature. It supports the discovery of complex information by linking referring expressions such as pronouns and appositives to their re...

A new Growing Neural Gas for clustering data streams.

Neural networks : the official journal of the International Neural Network Society
Clustering data streams is becoming the most efficient way to cluster a massive dataset. This task requires a process capable of partitioning observations continuously with restrictions of memory and time. In this paper we present a new algorithm, ca...

Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study.

The American journal of psychiatry
OBJECTIVE: Despite the multitude of longitudinal neuroimaging studies that have been published, a basic question on the progressive brain loss in schizophrenia remains unaddressed: Does it reflect accelerated aging of the brain, or is it caused by a ...

Synchronization for an array of neural networks with hybrid coupling by a novel pinning control strategy.

Neural networks : the official journal of the International Neural Network Society
In this paper, a novel pinning synchronization (synchronization with pinning control) scheme for an array of neural networks with hybrid coupling is investigated. The main contributions are as follows: (1) A novel pinning control strategy is proposed...

A Feature Learning and Object Recognition Framework for Underwater Fish Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Live fish recognition is one of the most crucial elements of fisheries survey applications where the vast amount of data is rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image qualit...

Small-World Propensity and Weighted Brain Networks.

Scientific reports
Quantitative descriptions of network structure can provide fundamental insights into the function of interconnected complex systems. Small-world structure, diagnosed by high local clustering yet short average path length between any two nodes, promot...