AIMC Topic: Deep Learning

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Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data.

Folia biologica Jan 1, 2019
Breast cancer survival prediction can have an extreme effect on selection of best treatment protocols. Many approaches such as statistical or machine learning models have been employed to predict the survival prospects of patients, but newer algorith...
Demography Breast Neoplasms Middle Aged Deep Learning Support Vector Machine Aged Decision Trees Aged, 80 and over Survival Analysis Young Adult Calibration Adult Humans Neural Networks, Computer Female
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Image Based Brain Segmentation: From Multi-Atlas Fusion to Deep Learning.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: This review aims to identify the development of the algorithms for brain tissue and structure segmentation in MRI images.
Humans Deep Learning Algorithms Magnetic Resonance Imaging Brain Brain Mapping Neuroimaging
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Carpal Bone Segmentation Using Fully Convolutional Neural Network.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Bone Age Assessment (BAA) refers to a clinical procedure that aims to identify a discrepancy between biological and chronological age of an individual by assessing the bone age growth. Currently, there are two main methods of executing BA...
Asian People Humans Hispanic or Latino Neural Networks, Computer Sex Factors Infant, Newborn Female Black or African American White People Male Age Determination by Skeleton Infant Carpal Bones Deep Learning Adolescent Child, Preschool Child
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Deep Learning for Alzheimer's Disease Classification using Texture Features.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: We propose a classification method for Alzheimer's disease (AD) based on the texture of the hippocampus, which is the organ that is most affected by the onset of AD.
Magnetic Resonance Imaging Humans Brain Alzheimer Disease Reproducibility of Results Neuroimaging Deep Learning Case-Control Studies Cognitive Dysfunction Image Processing, Computer-Assisted
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LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification.

Current medical imaging reviews Jan 1, 2019
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...
Algorithms Brain Deep Learning Big Data Diagnostic Imaging Breast Data Mining Humans Pattern Recognition, Automated Bone and Bones Database Management Systems
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A general approach for improving deep learning-based medical relation extraction using a pre-trained model and fine-tuning.

Database : the journal of biological databases and curation Jan 1, 2019
The automatic extraction of meaningful relations from biomedical literature or clinical records is crucial in various biomedical applications. Most of the current deep learning approaches for medical relation extraction require large-scale training d...
Medicine, Chinese Traditional Data Mining Software Algorithms Deep Learning Models, Theoretical
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Quantification of hepatic steatosis in histologic images by deep learning method.

Journal of X-ray science and technology Jan 1, 2019
OBJECTIVE: To develop and test a novel method for automatic quantification of hepatic steatosis in histologic images based on the deep learning scheme designed to predict the fat ratio directly, which aims to improve accuracy in diagnosis of non-alco...
Non-alcoholic Fatty Liver Disease Neural Networks, Computer Tomography, X-Ray Computed Female Liver Diet, High-Fat Animals Rabbits Male Deep Learning
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The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

Technology in cancer research & treatment Jan 1, 2019
Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting radiotherapy outcome is the accuracy of target delineation. Target delineation is time-consuming, and the results can vary depending on the experience ...
Neoplasm Staging Neoplasm Grading Organs at Risk Radiotherapy Planning, Computer-Assisted Adolescent Image Processing, Computer-Assisted Models, Theoretical Nasopharyngeal Neoplasms Radiotherapy, Image-Guided Female Aged Young Adult Adult Male Middle Aged Deep Learning Humans Algorithms Tomography, X-Ray Computed
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Deep learning-based automatic blood pressure measurement: evaluation of the effect of deep breathing, talking and arm movement.

Annals of medicine Jan 1, 2019
It is clinically important to evaluate the performance of a newly developed blood pressure (BP) measurement method under different measurement conditions. This study aims to evaluate the performance of using deep learning-based method to measure BPs...
Aged Young Adult Adult Male Humans Blood Pressure Middle Aged Female Healthy Volunteers Deep Learning Speech Blood Pressure Determination Automation Movement
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Limits on transfer learning from photographic image data to X-ray threat detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: X-ray imaging is a crucial and ubiquitous tool for detecting threats to transport security, but interpretation of the images presents a logistical bottleneck. Recent advances in Deep Learning image classification offer hope of improving t...
Radiographic Image Interpretation, Computer-Assisted Photography Aviation Security Measures Deep Learning
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