AIMC Topic: Image Interpretation, Computer-Assisted

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Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.

Asian Pacific journal of cancer prevention : APJCP Sep 26, 2018
Objective: Breast Cancer is the most invasive disease and fatal disease next to lung cancer in human. Early detection of breast cancer is accomplished by X-ray mammography. Mammography is the most effective and efficient technique used for detection ...
Breast Neoplasms Diagnosis, Computer-Assisted Mammography Image Interpretation, Computer-Assisted Algorithms Databases, Factual Female Diagnostic Errors Image Enhancement Wavelet Analysis Humans Neural Networks, Computer
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Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.

IEEE journal of biomedical and health informatics Sep 24, 2018
Age estimation from radiologic data is an important topic both in clinical medicine as well as in forensic applications, where it is used to assess unknown chronological age or to discriminate minors from adults. In this paper, we propose an automati...
Humans Tooth Male Neural Networks, Computer Age Determination by Skeleton Adolescent Female Hand Bones Magnetic Resonance Imaging Clavicle Image Interpretation, Computer-Assisted Young Adult Adult
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Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease.

International journal of neural systems Sep 20, 2018
The early detection of Alzheimer's disease and quantification of its progression poses multiple difficulties for machine learning algorithms. Two of the most relevant issues are related to missing data and results interpretability. To deal with both ...
Aged Neuroimaging Aged, 80 and over Humans Male Image Processing, Computer-Assisted Machine Learning Disease Progression Magnetic Resonance Imaging Prognosis Cognitive Dysfunction Alzheimer Disease Female Image Interpretation, Computer-Assisted
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Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis.

The British journal of dermatology Sep 19, 2018
BACKGROUND: Application of deep-learning technology to skin cancer classification can potentially improve the sensitivity and specificity of skin cancer screening, but the number of training images required for such a system is thought to be extremel...
Humans Skin Neoplasms Dermoscopy Mobile Applications Sensitivity and Specificity Deep Learning Skin Smartphone Dermatologists Image Interpretation, Computer-Assisted Datasets as Topic
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Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging.

Magnetic resonance in medicine Sep 18, 2018
PURPOSE: To develop an improved k-space reconstruction method using scan-specific deep learning that is trained on autocalibration signal (ACS) data.
Brain Mapping Heart Image Interpretation, Computer-Assisted Image Enhancement Radionuclide Imaging Phantoms, Imaging Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Young Adult Adult Male Algorithms Databases, Factual Brain Humans Neural Networks, Computer
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Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Magnetic resonance in medicine Sep 17, 2018
PURPOSE: We sought to assess whether machine learning-based classification approaches can improve the classification of pancreatic tumor models relative to more simplistic analysis methods, using T relaxation, CEST, and DCE MRI.
Humans Machine Learning Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Animals Pancreatic Neoplasms Mice, SCID Algorithms Principal Component Analysis Image Enhancement Cell Line, Tumor Female Area Under Curve Normal Distribution Image Processing, Computer-Assisted Hypoxia Mice Magnetic Resonance Imaging
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Deep learning nuclei detection: A simple approach can deliver state-of-the-art results.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 17, 2018
BACKGROUND: Deep convolutional neural networks have become a widespread tool for the detection of nuclei in histopathology images. Many implementations share a basic approach that includes generation of an intermediate map indicating the presence of ...
Cell Nucleus Histology Algorithms Deep Learning Image Interpretation, Computer-Assisted
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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 14, 2018
BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction ...
Databases, Factual Female Reproducibility of Results Aged Male Humans Neural Networks, Computer Automation Magnetic Resonance Imaging, Cine Ventricular Function, Right Myocardial Contraction Predictive Value of Tests Ventricular Function, Left Heart Diseases Stroke Volume Image Interpretation, Computer-Assisted Middle Aged Observer Variation Deep Learning
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Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images.

Physics in medicine and biology Sep 13, 2018
Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for a growing variety of applications. However, the paucity of medical imaging data with high-quality annotations that is necessary for training such met...
Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Endoscopy Photography Animals Humans Colon Neural Networks, Computer Swine Deep Learning Light
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Temporal Correlation Structure Learning for MCI Conversion Prediction.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 13, 2018
In Alzheimer's research, Mild Cognitive Impairment (MCI) is an important intermediate stage between normal aging and Alzheimer's. How to distinguish MCI samples that finally convert to AD from those do not is an essential problem in the prevention an...
Cohort Studies Humans Reproducibility of Results Artificial Intelligence Sensitivity and Specificity Magnetic Resonance Imaging Disease Progression Algorithms Image Interpretation, Computer-Assisted Cognitive Dysfunction Brain
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