AIMC Topic: Algorithms

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Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.

European journal of radiology
OBJECTIVE: To evaluate whether the use of a computer-aided diagnosis-contrast-enhanced spectral mammography (CAD-CESM) tool can further increase the diagnostic performance of CESM compared with that of experienced radiologists.

DNA Cryptography and Deep Learning using Genetic Algorithm with NW algorithm for Key Generation.

Journal of medical systems
Cryptography is not only a science of applying complex mathematics and logic to design strong methods to hide data called as encryption, but also to retrieve the original data back, called decryption. The purpose of cryptography is to transmit a mess...

An adaptive map-matching algorithm based on hierarchical fuzzy system from vehicular GPS data.

PloS one
An improved hierarchical fuzzy inference method based on C-measure map-matching algorithm is proposed in this paper, in which the C-measure represents the certainty or probability of the vehicle traveling on the actual road. A strategy is firstly int...

Efficient Group-n Encoding and Decoding for Facial Age Estimation.

IEEE transactions on pattern analysis and machine intelligence
Different ages are closely related especially among the adjacent ages because aging is a slow and extremely non-stationary process with much randomness. To explore the relationship between the real age and its adjacent ages, an age group-n encoding (...

Tensor Decomposition of Gait Dynamics in Parkinson's Disease.

IEEE transactions on bio-medical engineering
OBJECTIVE: The study of gait in Parkinson's disease is important because it can provide insights into the complex neural system and physiological behaviors of the disease, of which understanding can help improve treatment and lead to effective develo...

Biopsy-Free Prediction of Pathologic Type of Primary Nephrotic Syndrome Using a Machine Learning Algorithm.

Kidney & blood pressure research
BACKGROUND/AIMS: Renal biopsy is the gold standard to determine the pathologic type of primary nephrotic syndrome, which is critical for diagnosis, choice of treatment and evaluation of prognosis. However, in some cases, renal biopsy cannot be perfor...

Standard representation and unified stability analysis for dynamic artificial neural network models.

Neural networks : the official journal of the International Neural Network Society
An overview is provided of dynamic artificial neural network models (DANNs) for nonlinear dynamical system identification and control problems, and convex stability conditions are proposed that are less conservative than past results. The three most ...

Fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks.

Neural networks : the official journal of the International Neural Network Society
This article is concerned with the fixed-time stabilization for impulsive Cohen-Grossberg BAM neural networks via two different controllers. By using a novel constructive approach based on some comparison techniques for differential inequalities, an ...

An automated technique to stage lower third molar development on panoramic radiographs for age estimation: a pilot study.

The Journal of forensic odonto-stomatology
BACKGROUND: Automated methods to evaluate growth of hand and wrist bones on radiographs and magnetic resonance imaging have been developed. They can be applied to estimate age in children and subadults. Automated methods require the software to (1) r...

Predicting enhancers with deep convolutional neural networks.

BMC bioinformatics
BACKGROUND: With the rapid development of deep sequencing techniques in the recent years, enhancers have been systematically identified in such projects as FANTOM and ENCODE, forming genome-wide landscapes in a series of human cell lines. Nevertheles...