AIMC Topic:
Image Interpretation, Computer-Assisted
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Medical Image Analysis by Cognitive Information Systems - a Review.
Journal of medical systems
Aug 15, 2016
This publication presents a review of medical image analysis systems. The paradigms of cognitive information systems will be presented by examples of medical image analysis systems. The semantic processes present as it is applied to different types o...
Liver Tumor Segmentation from MR Images Using 3D Fast Marching Algorithm and Single Hidden Layer Feedforward Neural Network.
BioMed research international
Aug 14, 2016
Objective. Our objective is to develop a computerized scheme for liver tumor segmentation in MR images. Materials and Methods. Our proposed scheme consists of four main stages. Firstly, the region of interest (ROI) image which contains the liver tumo...
Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Aug 12, 2016
BACKGROUND: Measuring the thickness of the stratum corneum (SC) in vivo is often required in pharmacological, dermatological, and cosmetological studies. Reflectance confocal microscopy (RCM) offers a non-invasive imaging-based approach. However, RCM...
Deep learning based classification of breast tumors with shear-wave elastography.
Ultrasonics
Aug 6, 2016
This study aims to build a deep learning (DL) architecture for automated extraction of learned-from-data image features from the shear-wave elastography (SWE), and to evaluate the DL architecture in differentiation between benign and malignant breast...
Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 1, 2016
Diabetic retinopathy (DR) is a progressive disease, and its detection at an early stage is crucial for saving a patient's vision. An automated screening system for DR can help in reduce the chances of complete blindness due to DR along with lowering ...
Accuracy of automated classification of major depressive disorder as a function of symptom severity.
NeuroImage. Clinical
Jul 27, 2016
BACKGROUND: Growing evidence documents the potential of machine learning for developing brain based diagnostic methods for major depressive disorder (MDD). As symptom severity may influence brain activity, we investigated whether the severity of MDD ...
Making use of longitudinal information in pattern recognition.
Human brain mapping
Jul 25, 2016
Longitudinal designs are widely used in medical studies as a means of observing within-subject changes over time in groups of subjects, thereby aiming to improve sensitivity for detecting disease effects. Paralleling an increased use of such studies ...
Neuroimaging
Image Interpretation, Computer-Assisted
Linear Models
Pattern Recognition, Automated
Cognitive Dysfunction
Dementia
Support Vector Machine
Magnetic Resonance Imaging
Principal Component Analysis
Longitudinal Studies
Follow-Up Studies
Sensitivity and Specificity
Cross-Sectional Studies
Middle Aged
Brain
Aged
Aged, 80 and over
Humans
Prospective Studies
Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.
International journal of neural systems
Jul 22, 2016
Computer-aided diagnosis (CAD) systems constitute a powerful tool for early diagnosis of Alzheimer's disease (AD), but limitations on interpretability and performance exist. In this work, a fully automatic CAD system based on supervised learning meth...
Automatic weighing attribute to retrieve similar lung cancer nodules.
BMC medical informatics and decision making
Jul 21, 2016
BACKGROUND: Cancer is a disease characterized as an uncontrolled growth of abnormal cells that invades neighboring tissues and destroys them. Lung cancer is the primary cause of cancer-related deaths in the world, and it diagnosis is a complex task f...
Supervised Filter Learning for Representation Based Face Recognition.
PloS one
Jul 14, 2016
Representation based classification methods, such as Sparse Representation Classification (SRC) and Linear Regression Classification (LRC) have been developed for face recognition problem successfully. However, most of these methods use the original ...
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