AIMC Topic: Pattern Recognition, Automated

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Filter feature selectors in the development of binary QSAR models.

SAR and QSAR in environmental research
The application of machine learning methods to the construction of quantitative structure-activity relationship models is a complex computational problem in which dimensionality reduction of the representation of the molecular structure plays a funda...

Automatic Vertebrae Localization and Identification by Combining Deep SSAE Contextual Features and Structured Regression Forest.

Journal of digital imaging
Automatic vertebrae localization and identification in medical computed tomography (CT) scans is of great value for computer-aided spine diseases diagnosis. In order to overcome the disadvantages of the approaches employing hand-crafted, low-level fe...

Identifying concepts from medical images via transfer learning and image retrieval.

Mathematical biosciences and engineering : MBE
Automatically identifying semantic concepts from medical images provides multimodal insights for clinical research. To study the effectiveness of concept detection on large scale medical images, we reconstructed over 230,000 medical image-concepts pa...

Angle aided circle detection based on randomized Hough transform and its application in welding spots detection.

Mathematical biosciences and engineering : MBE
The Hough transform has been widely used in image analysis and digital image processing due to its capability of transforming image space detection to parameter space accumulation. In this paper, we propose a novel Angle-Aided Circle Detection (AACD)...

Stability properties of neural networks with non-instantaneous impulses.

Mathematical biosciences and engineering : MBE
In this paper, we consider neural networks in the case when the neurons are subject to a certain impulsive state displacement at fixed moments and the duration of this displacement is not negligible small (these are known as non-instantaneous impulse...

A modified comprehensive learning particle swarm optimizer and its application in cylindricity error evaluation problem.

Mathematical biosciences and engineering : MBE
Particle swarm optimizer was proposed in 1995, and since then, it has become an extremely popular swarm intelligent algorithm with widespread applications. Many modified versions of it have been developed, in which, comprehensive learning particle sw...

Computing of temporal information in spiking neural networks with ReRAM synapses.

Faraday discussions
Resistive switching random-access memory (ReRAM) is a two-terminal device based on ion migration to induce resistance switching between a high resistance state (HRS) and a low resistance state (LRS). ReRAM is considered one of the most promising tech...

Deep Learning for Chondrocyte Identification in Automated Histological Analysis of Articular Cartilage.

The Iowa orthopaedic journal
BACKGROUND: Histology-based methods are commonly used in osteoarthritis (OA) research because they provide detailed information about cartilage health at the cellular and tissue level. Computer-based cartilage scoring systems have previously been dev...

LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification.

Current medical imaging reviews
BACKGROUND: With the explosive growth of global data, the term Big Data describes the enormous size of dataset through the detailed analysis. The big data analytics revealed the hidden patterns and secret correlations among the values. The major chal...

Design Considerations for a Knowledge Graph: The WATRIMed Use Case.

Studies in health technology and informatics
The World Health Organization estimates that as much as 80% of the population uses Traditional Medicine (TM) in some form, and in particular, herbal-based Traditional Medicine (HTM). However, TM is mostly orally transmitted and suffers from lack of s...