AIMC Topic:
Cluster Analysis
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Quantitative analysis of breast echotexture patterns in automated breast ultrasound images.
Medical physics
Aug 1, 2015
PURPOSE: Breast tissue composition is considered to be associated with breast cancer risk. This study aimed to develop a computer-aided classification (CAC) system to automatically classify echotexture patterns as heterogeneous or homogeneous using a...
Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery.
Bioinformatics (Oxford, England)
Jun 15, 2015
MOTIVATION: Despite ongoing cancer research, available therapies are still limited in quantity and effectiveness, and making treatment decisions for individual patients remains a hard problem. Established subtypes, which help guide these decisions, a...
Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.
Journal of digital imaging
Jun 1, 2015
Breast cancer is the second most common type of cancer in the world. Several computer-aided detection and diagnosis systems have been used to assist health experts and to indicate suspect areas that would be difficult to perceive by the human eye; th...
Semi-Supervised Affinity Propagation with Soft Instance-Level Constraints.
IEEE transactions on pattern analysis and machine intelligence
May 1, 2015
Soft-constraint semi-supervised affinity propagation (SCSSAP) adds supervision to the affinity propagation (AP) clustering algorithm without strictly enforcing instance-level constraints. Constraint violations lead to an adjustment of the AP similari...
The drug prescription network: a system-level view of drug co-prescription in community-dwelling elderly people.
Rejuvenation research
Apr 1, 2015
Networks are well suited to display and analyze complex systems that consist of numerous and interlinked elements. This study aimed at: (1) generating a series of drug prescription networks (DPNs) displaying co-prescription in community-dwelling elde...
National Health Programs
Databases, Pharmaceutical
Drug Information Services
Community Pharmacy Services
Pharmacoepidemiology
Aged
Drug Prescriptions
Aged, 80 and over
Independent Living
Male
Polypharmacy
Data Mining
Cluster Analysis
Pattern Recognition, Automated
Humans
Italy
Time Factors
Practice Patterns, Physicians'
Neural Networks, Computer
Age Factors
Female
[The blind source separation method based on self-organizing map neural network and convolution kernel compensation for multi-channel sEMG signals].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Feb 1, 2015
A new method based on convolution kernel compensation (CKC) for decomposing multi-channel surface electromyogram (sEMG) signals is proposed in this paper. Unsupervised learning and clustering function of self-organizing map (SOM) neural network are e...
A multi-stage random forest classifier for phase contrast cell segmentation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
We present a machine learning based approach to automatically detect and segment cells in phase contrast images. The proposed method consists of a multi-stage classification scheme based on random forest (RF) classifier. Both low level and mid level ...
Segmentation of acne lesion using fuzzy C-means technique with intelligent selection of the desired cluster.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
Segmentation is the basic and important step for digital image analysis and understanding. Segmentation of acne lesions in the visual spectrum of light is very challenging due to factors such as varying skin tones due to ethnicity, camera calibration...
Multiple fuzzy c-means clustering algorithm in medical diagnosis.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2015
BACKGROUND: In recent years, the use of the fuzzy c-means (FCM) clustering techniques in medical diagnosis has steadily increased, because of its effectiveness in recognizing systems in the medical database to help medical experts diagnosing diseases...
An improved fuzzy C-means clustering algorithm for assisted therapy of chronic bronchitis.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2015
BACKGROUND: Bronchitis is considered a non-specific inflammation in the peripheral tissues of the trachea and bronchus. Many therapeutic schemes for chronic bronchitis have been reported in existing research.
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