AIMC Topic:
Databases, Factual

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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

The Lancet. Oncology Apr 2, 2019
BACKGROUND: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform protocol have been introduced to standardise assessment of MRI scans in both clinical trials and clinical practice. However, these criteria mainly re...
Databases, Factual Retrospective Studies Female Humans Neural Networks, Computer Automation Treatment Outcome Germany Clinical Trials, Phase III as Topic Magnetic Resonance Imaging Workflow Multicenter Studies as Topic Tumor Burden Randomized Controlled Trials as Topic Image Interpretation, Computer-Assisted Clinical Trials, Phase II as Topic Predictive Value of Tests Disease Progression Diagnosis, Computer-Assisted Time Factors Reproducibility of Results Brain Neoplasms Male
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Chinese Clinical Named Entity Recognition Using Residual Dilated Convolutional Neural Network With Conditional Random Field.

IEEE transactions on nanobioscience Apr 1, 2019
Clinical named entity recognition (CNER) is a fundamental and crucial task for clinical and translation research. In recent years, deep learning methods have achieved significant success in CNER tasks. However, these methods depend greatly on recurre...
Electronic Health Records China Natural Language Processing Medical Informatics Humans Neural Networks, Computer Databases, Factual
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Ultrafast (milliseconds), multidimensional RF pulse design with deep learning.

Magnetic resonance in medicine Mar 30, 2019
PURPOSE: Some advanced RF pulses, like multidimensional RF pulses, are often long and require substantial computation time because of a number of constraints and requirements, sometimes hampering clinical use. However, the pulses offer opportunities ...
Humans Databases, Factual Male Phantoms, Imaging Radio Waves Deep Learning Time Factors Magnetic Resonance Imaging
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Analysis of a CT patient dose database with an unsupervised clustering approach.

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 29, 2019
PURPOSE: This study investigated the benefits of implementing a cluster analysis technique to extract relevant information from a computed tomography (CT) dose registry archive.
Data Mining Humans Radiation Dosage Phantoms, Imaging Cluster Analysis Unsupervised Machine Learning Software Registries Databases, Factual Tomography, X-Ray Computed
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Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 27, 2019
PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge placement in patients undergoing elective surgery for degenerative spondylolisthesis.
Models, Statistical Patient Discharge Spondylolisthesis Machine Learning Humans Algorithms Databases, Factual Male Female Middle Aged Aged
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Cardiac Rhythm Device Identification Using Neural Networks.

JACC. Clinical electrophysiology Mar 27, 2019
OBJECTIVES: This paper reports the development, validation, and public availability of a new neural network-based system which attempts to identify the manufacturer and even the model group of a pacemaker or defibrillator from a chest radiograph.
Pacemaker, Artificial Image Processing, Computer-Assisted Radiography, Thoracic Humans Thorax Neural Networks, Computer Databases, Factual
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An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare.

Journal of healthcare engineering Mar 27, 2019
This study proposes a convolutional neural network model trained from scratch to classify and detect the presence of pneumonia from a collection of chest X-ray image samples. Unlike other methods that rely solely on transfer learning approaches or tr...
Child, Preschool Reproducibility of Results Humans Pneumonia Infant Algorithms Deep Learning Databases, Factual Radiographic Image Interpretation, Computer-Assisted
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Quality and content analysis of fundus images using deep learning.

Computers in biology and medicine Mar 26, 2019
Automatic retinal image analysis has remained an important topic of research in the last ten years. Various algorithms and methods have been developed for analysing retinal images. The majority of these methods use public retinal image databases for ...
Humans Image Processing, Computer-Assisted Databases, Factual Female Fundus Oculi Male Deep Learning
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Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection.

IEEE transactions on medical imaging Mar 25, 2019
Automated cell detection and localization from microscopy images are significant tasks in biomedical research and clinical practice. In this paper, we design a new cell detection and localization algorithm that combines deep convolutional neural netw...
Image Processing, Computer-Assisted Cytological Techniques Microscopy Neural Networks, Computer Algorithms Databases, Factual Mitosis Humans
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IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques.

Methods (San Diego, Calif.) Mar 22, 2019
Inverse Virtual Screening is a powerful technique in the early stage of drug discovery process. This technique can provide important clues for biologically active molecules, which is useful in the following researches of durg discovery. In this work,...
Molecular Docking Simulation Deep Learning User-Computer Interface Proteins Protein Conformation Software Algorithms Databases, Factual
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