AIMC Journal:
Computer methods and programs in biomedicine

Showing 721 to 730 of 863 articles

Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND: Accurate segmentation of brain tumour in magnetic resonance images (MRI) is a difficult task due to various tumour types. Using information and features from multimodal MRI including structural MRI and isotropic (p) and anisotropic (q) co...
Magnetic Resonance Imaging Multimodal Imaging Neoplasm Grading Supervised Machine Learning Datasets as Topic Diffusion Tensor Imaging Humans Algorithms Brain Neoplasms
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Deep Convolutional Neural Networks for breast cancer screening.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Radiologists often have a hard time classifying mammography mass lesions which leads to unnecessary breast biopsies to remove suspicions and this ends up adding exorbitant expenses to an already burdened patient and health c...
Mammography Reproducibility of Results Breast Neoplasms Diagnosis, Computer-Assisted Early Detection of Cancer Machine Learning Databases, Factual Female Humans Neural Networks, Computer
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Machine learning techniques for medical diagnosis of diabetes using iris images.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Complementary and alternative medicine techniques have shown their potential for the treatment and diagnosis of chronical diseases like diabetes, arthritis etc. On the same time digital image processing techniques for diseas...
Image Processing, Computer-Assisted Automation Iris Case-Control Studies Diagnosis, Computer-Assisted Diabetes Mellitus, Type 2 Humans Machine Learning Female Reproducibility of Results Sensitivity and Specificity Male Middle Aged
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Tuberculosis diagnosis support analysis for precarious health information systems.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in de...
Humans Sensitivity and Specificity Male Middle Aged Public Health Neural Networks, Computer Female Young Adult Adult Diagnosis, Computer-Assisted Colombia Acquired Immunodeficiency Syndrome Ill-Housed Persons Tuberculosis, Pulmonary Diabetes Complications Health Information Systems
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Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for documentation and communication of specimen data, because the morphological information for a transparent specimen can be captured in form of a stack...
Pattern Recognition, Automated Nematoda Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Animals Image Processing, Computer-Assisted Support Vector Machine Linear Models
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Max-margin weight learning for medical knowledge network.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: The application of medical knowledge strongly affects the performance of intelligent diagnosis, and method of learning the weights of medical knowledge plays a substantial role in probabilistic graphical models (PGMs). The p...
Machine Learning Algorithms Electronic Health Records Reproducibility of Results Humans Neural Networks, Computer Signal Processing, Computer-Assisted Markov Chains Likelihood Functions Computer Graphics Diagnosis, Computer-Assisted China Models, Theoretical Models, Statistical
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Automated tongue diagnosis on the smartphone and its applications.

Computer methods and programs in biomedicine Dec 24, 2017
Tongue features are important objective basis for clinical diagnosis and treatment in both western medicine and Chinese medicine. The need for continuous monitoring of health conditions inspires us to develop an automatic tongue diagnosis system base...
Temperature Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Smartphone Support Vector Machine Medicine, Chinese Traditional Taiwan Color Humans Algorithms Liver Diseases Equipment Design Lighting Tongue
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Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates.

Computer methods and programs in biomedicine Dec 18, 2017
BACKGROUND AND OBJECTIVE: The recent introduction of Full Laboratory Automation systems in clinical microbiology opens to the availability of streams of high definition images representing bacteria culturing plates. This creates new opportunities to ...
Urinary Tract Infections Electronic Data Processing Reproducibility of Results Humans Lighting Agar Bacteria Software Programming Languages Models, Statistical Algorithms Hemolysis Signal Processing, Computer-Assisted
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Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.

Computer methods and programs in biomedicine Dec 16, 2017
Background and Objective Fatty Liver Disease (FLD) - a disease caused by deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The machine learning (ML) techniques applied for FLD detection and risk stratificatio...
Risk Factors Humans Benchmarking Diagnosis, Computer-Assisted Neural Networks, Computer Image Interpretation, Computer-Assisted Fatty Liver Ultrasonography Machine Learning ROC Curve Computational Biology Reproducibility of Results Support Vector Machine
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Breast cancer data analysis for survivability studies and prediction.

Computer methods and programs in biomedicine Dec 12, 2017
BACKGROUND: Breast cancer is the most common cancer affecting females worldwide. Breast cancer survivability prediction is challenging and a complex research task. Existing approaches engage statistical methods or supervised machine learning to asses...
Models, Theoretical Cluster Analysis Female Humans SEER Program Breast Neoplasms Survival Analysis Machine Learning Cohort Studies
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