AIMC Topic: Neural Networks, Computer

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Critical evaluation of deep neural networks for wrist fracture detection.

Scientific reports Mar 16, 2021
Wrist Fracture is the most common type of fracture with a high incidence rate. Conventional radiography (i.e. X-ray imaging) is used for wrist fracture detection routinely, but occasionally fracture delineation poses issues and an additional confirma...
Wrist Wrist Injuries Female Male Fractures, Bone Databases, Factual Retrospective Studies Tomography, X-Ray Computed Humans Neural Networks, Computer
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Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion.

BMC cancer Mar 16, 2021
BACKGROUND: The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular carcinoma (HCC) is vital in determining postoperative adjuvant treatment and monitoring. This study aimed to develop and validate an artificial neural n...
Liver Neoplasms Carcinoma, Hepatocellular Nomograms Risk Factors Male Middle Aged Neoplasm Staging Neoplasm Recurrence, Local Disease-Free Survival Hepatectomy Follow-Up Studies Liver Predictive Value of Tests Humans Neural Networks, Computer Retrospective Studies Female Proportional Hazards Models Postoperative Period
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Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.

Physics in medicine and biology Mar 16, 2021
Integrated-type proton computed tomography (pCT) measures proton stopping power ratio (SPR) images for proton therapy treatment planning, but its image quality is degraded due to noise and scatter. Although several correction methods have been propos...
Image Processing, Computer-Assisted Head and Neck Neoplasms Bayes Theorem Tomography, X-Ray Computed Reproducibility of Results Deep Learning Phantoms, Imaging Head Neural Networks, Computer Uncertainty Proton Therapy Algorithms Protons Humans Calibration Monte Carlo Method
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Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 16, 2021
PURPOSE: We investigate, by an extensive quality evaluation approach, performances and potential side effects introduced in Computed Tomography (CT) images by Deep Learning (DL) processing.
Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Neural Networks, Computer Tomography, X-Ray Computed
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Anomalous Behavior Detection Framework Using HTM-Based Semantic Folding Technique.

Computational and mathematical methods in medicine Mar 16, 2021
Upon the working principles of the human neocortex, the Hierarchical Temporal Memory model has been developed which is a proposed theoretical framework for sequence learning. Both categorical and numerical types of data are handled by HTM. Semantic F...
Algorithms Learning Computational Biology Pattern Recognition, Automated Humans Models, Neurological Memory Electronic Data Processing Neural Networks, Computer Natural Language Processing Neocortex Machine Learning Semantics
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Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach.

PloS one Mar 16, 2021
OBJECTIVE: Hemorrhagic fever with renal syndrome (HFRS), one of the main public health concerns in mainland China, is a group of clinically similar diseases caused by hantaviruses. Statistical approaches have always been leveraged to forecast the fut...
Incidence Models, Statistical Seasons Datasets as Topic Epidemiological Monitoring Hemorrhagic Fever with Renal Syndrome Forecasting Disease Outbreaks China Humans Neural Networks, Computer Machine Learning Orthohantavirus
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Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition.

Journal of biomedical informatics Mar 15, 2021
Named entity recognition (NER) is a fundamental task in Chinese natural language processing (NLP) tasks. Recently, Chinese clinical NER has also attracted continuous research attention because it is an essential preparation for clinical data mining. ...
Neural Networks, Computer Electronic Health Records China Natural Language Processing Data Mining
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Automated severity scoring of atopic dermatitis patients by a deep neural network.

Scientific reports Mar 15, 2021
Scoring atopic dermatitis (AD) severity with the Eczema Area and Severity Index (EASI) in an objective and reproducible manner is challenging. Automated measurement of erythema, papulation, excoriation, and lichenification severity using images has n...
Male Severity of Illness Index Image Processing, Computer-Assisted Neural Networks, Computer Dermatitis, Atopic Databases, Factual Female Humans
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Hybrid Prediction Method for ECG Signals Based on VMD, PSR, and RBF Neural Network.

BioMed research international Mar 15, 2021
To explore a method to predict ECG signals in body area networks (BANs), we propose a hybrid prediction method for ECG signals in this paper. The proposed method combines variational mode decomposition (VMD), phase space reconstruction (PSR), and a r...
Humans Electrocardiography Neural Networks, Computer Databases, Factual Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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Footballer Action Tracking and Intervention Using Deep Learning Algorithm.

Journal of healthcare engineering Mar 15, 2021
Fédération Internationale de Football Association is the governing body of the football world cup. The international tournament of football requires extensive training of all football players and athletes. In the training process of footballers, play...
Humans Neural Networks, Computer Algorithms Deep Learning Gestures Athletes
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