AIMC Topic: Algorithms

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Deep-learning algorithm to detect fibrosing interstitial lung disease on chest radiographs.

The European respiratory journal
BACKGROUND: Antifibrotic therapies are available to treat chronic fibrosing interstitial lung diseases (CF-ILDs), including idiopathic pulmonary fibrosis. Early use of these treatments is recommended to slow deterioration of respiratory function and ...

Healthcare Facilities Redesign Using Multicriteria Decision-Making: Fuzzy TOPSIS and Graph Heuristic Theories.

Journal of healthcare engineering
BACKGROUND: Healthcare facilities are crucial assets that are necessary to be updated and evaluated regularly. One of the most pressing issues today is the renovation of healthcare facilities to match international standards. In large projects involv...

Heart sound classification based on equal scale frequency cepstral coefficients and deep learning.

Biomedizinische Technik. Biomedical engineering
Heart diseases represent a serious medical condition that can be fatal. Therefore, it is critical to investigate the measures of its early prevention. The Mel-scale frequency cepstral coefficients (MFCC) feature has been widely used in the early diag...

A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles.

Neural networks : the official journal of the International Neural Network Society
This paper investigates a class of power consumption minimization and equalization for intelligent and connected vehicles cooperative system. Accordingly, a distributed optimization problem model related to power consumption and data rate of intellig...

Automatic vessel crossing and bifurcation detection based on multi-attention network vessel segmentation and directed graph search.

Computers in biology and medicine
Analysis of the vascular tree is the basic premise to automatically diagnose retinal biomarkers associated with ophthalmic and systemic diseases, among which accurate identification of intersection and bifurcation points is quite challenging but impo...

Prediction of drug protein interactions based on variable scale characteristic pyramid convolution network.

Methods (San Diego, Calif.)
MOTIVATION: In the process of drug screening, it is significant to improve the accuracy of drug-target binding affinity prediction. A multilayer convolutional neural network is one of the most popular existing methods for predicting affinity based on...

Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology.

Seminars in diagnostic pathology
Digital pathology has a crucial role in diagnostic pathology and is increasingly a technological requirement in the field. Integration of digital slides into the pathology workflow, advanced algorithms, and computer-aided diagnostic techniques extend...

Hybrid Recurrent Neural Network Architecture-Based Intention Recognition for Human-Robot Collaboration.

IEEE transactions on cybernetics
Human-robot-collaboration requires robot to proactively and intelligently recognize the intention of human operator. Despite deep learning approaches have achieved certain results in performing feature learning and long-term temporal dependencies mod...

Design of Low-Complexity Convolutional Neural Network Accelerator for Finger Vein Identification System.

Sensors (Basel, Switzerland)
In the biometric field, vein identification is a vital process that is constrained by the invisibility of veins as well as other unique features. Moreover, users generally do not wish to have their personal information uploaded to the cloud, so edge ...