AIMC Topic:
Image Interpretation, Computer-Assisted
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Automatic Identification of Human Erythrocytes in Microscopic Fecal Specimens.
Journal of medical systems
Sep 9, 2015
Traditional fecal erythrocyte detection is performed via a manual operation that is unsuitable because it depends significantly on the expertise of individual inspectors. To recognize human erythrocytes automatically and precisely, automatic segmenta...
Correlation of magnetic resonance imaging with digital histopathology in prostate.
International journal of computer assisted radiology and surgery
Sep 4, 2015
PURPOSE: We propose a systematic approach to correlate MRI and digital histopathology in prostate.
Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease.
Journal of neuroscience methods
Aug 21, 2015
BACKGROUND: The development of MRI based methods could prove extremely valuable for identification of reliable biomarkers to aid diagnosis of neurodegenerative diseases (NDs). A great deal of current research has been aimed at identification biomarke...
Scalable gastroscopic video summarization via similar-inhibition dictionary selection.
Artificial intelligence in medicine
Aug 18, 2015
OBJECTIVE: This paper aims at developing an automated gastroscopic video summarization algorithm to assist clinicians to more effectively go through the abnormal contents of the video.
A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging.
IEEE transactions on bio-medical engineering
Aug 14, 2015
GOAL: The purpose of this paper is to develop a classification method that combines both spectral and spatial information for distinguishing cancer from healthy tissue on hyperspectral images in an animal model.
Gastroesophageal Reflux Disease Diagnosis Using Hierarchical Heterogeneous Descriptor Fusion Support Vector Machine.
IEEE transactions on bio-medical engineering
Aug 10, 2015
A new computer-aided diagnosis method is proposed to diagnose the gastroesophageal reflux disease (GERD) from endoscopic images of the esophageal-gastric junction. To avoid the interferences of different endoscope devices and automatic camera white b...
A tool for developing an automatic insect identification system based on wing outlines.
Scientific reports
Aug 7, 2015
For some insect groups, wing outline is an important character for species identification. We have constructed a program as the integral part of an automated system to identify insects based on wing outlines (DAIIS). This program includes two main fu...
Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis.
IEEE journal of biomedical and health informatics
Jul 29, 2015
In the analysis of histopathological images, both holistic (e.g., architecture features) and local appearance features demonstrate excellent performance, while their accuracy may vary dramatically when providing different inputs. This motivates us to...
Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation.
Medical image analysis
Jul 26, 2015
Direct estimation of cardiac ventricular volumes has become increasingly popular and important in cardiac function analysis due to its effectiveness and efficiency by avoiding an intermediate segmentation step. However, existing methods rely on eithe...
Stroke Volume
Image Enhancement
Ventricular Dysfunction
Imaging, Three-Dimensional
Algorithms
Regression Analysis
Humans
Image Interpretation, Computer-Assisted
Organ Size
Reproducibility of Results
Neural Networks, Computer
Pattern Recognition, Automated
Sensitivity and Specificity
Machine Learning
Heart Ventricles
Retinal vessel segmentation using multi-scale textons derived from keypoints.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 22, 2015
This paper presents a retinal vessel segmentation algorithm which uses a texton dictionary to classify vessel/non-vessel pixels. However, in contrast to previous work where filter parameters are learnt from manually labelled image pixels our filter p...
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