AIMC Topic: Neural Networks, Computer

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Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB.

Studies in health technology and informatics
Analyses of nerve histology are core assays in basic and applied research and even in clinical setting. Detailed report on nerve morphology may unbiased indicate the current state of a peripheral nerve. Manual method requires trained technician and i...

Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study.

Medicine
Convolutional neural networks (CNNs), a particular type of deep learning architecture, are positioned to become one of the most transformative technologies for medical applications. The aim of the current study was to evaluate the efficacy of deep CN...

[Detection of white blood cells in microscopic leucorrhea images based on deep active learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
The number of white blood cells in the leucorrhea microscopic image can indicate the severity of vaginal inflammation. At present, the detection of white blood cells in leucorrhea mainly relies on manual microscopy by medical experts, which is time-c...

[Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection margin (CRM) of rectal cancer in the magnetic resonance imaging (MRI). This study was registered in ...

What is the Key Conceptual or Methodological Bottleneck to Controlling Neural Biology?

Cell systems
Neurostimulation techniques allow us to manipulate the activity of nervous systems, and even that of single neurons. In this piece, researchers discuss what they see as the current key bottlenecks to controlling neural biology.

Evaluation of Different Learning Algorithms of Neural Networks for Drug Dosing Recommendations in Pediatrics.

Studies in health technology and informatics
Publicly accessible databases with evidence-based information on drug dosages for children and adolescents are not available in Germany. In previous work a prototypical web-based online platform for pediatric dosing recommendation has been developed....

Human gesture recognition under degraded environments using 3D-integral imaging and deep learning.

Optics express
In this paper, we propose a spatio-temporal human gesture recognition algorithm under degraded conditions using three-dimensional integral imaging and deep learning. The proposed algorithm leverages the advantages of integral imaging with deep learni...

Neural Networks for Cause of Hospitalization and Final Cause of Death Extraction from Discharge Summaries.

Studies in health technology and informatics
Determining the cause of death of hospitalized patients with cardiovascular disease is of the utmost importance. This is usually recorded in free text form. In this study we aimed to develop a series of supervised natural language processing algorith...

Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB.

Studies in health technology and informatics
Analyses of nerve histology are core assays in basic and applied research and even in clinical setting. Detailed report on nerve morphology may unbiasedly indicate the current state of a peripheral nerve. Manual method requires trained technician and...

The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study.

Studies in health technology and informatics
Consumer wearables can provide objective monitoring of movement disorders and may identify new phenotypical biomarkers. We present a novel smartwatch-based prototype, which is implemented as a prospective study in neurology. A full-stack Machine Lear...