AIMC Topic: Humans

Showing 64421 to 64430 of 95995 articles
Clear Filters

VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2019
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-aided diagnoses. This is a challenging task due to the extremely small size of the vessel structure, low SNR, and varying contrast in medical image da...
Diagnosis, Computer-Assisted Deep Learning Imaging, Three-Dimensional Humans Neural Networks, Computer Algorithms Liver Datasets as Topic Blood Vessels
View on PubMed DOI

Classification of Skin Disease using Ensemble Data Mining Techniques.

Asian Pacific journal of cancer prevention : APJCP Jun 1, 2019
Objective: Skin diseases are a major global health problem associated with high number of people. With the rapid development of technologies and the application of various data mining techniques in recent years, the progress of dermatological predict...
Humans Skin Diseases Algorithms Prognosis Data Mining Machine Learning
View on PubMed DOI

Wilson's disease: A new perspective review on its genetics, diagnosis and treatment.

Frontiers in bioscience (Elite edition) Jun 1, 2019
Wilson's disease (WD) is an autosomal recessive disorder which is caused by poor excretion of copper in mammalian cells. In this review, various issues such as effective characterization of ATP7B genes, scope of gene network topology in genetic analy...
Humans Deep Learning Copper-Transporting ATPases Hepatolenticular Degeneration
View on PubMed DOI

Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Fundus Oculi Image Interpretation, Computer-Assisted Datasets as Topic Deep Learning Aged, 80 and over Algorithms Humans ROC Curve Adult Female Neural Networks, Computer Retinal Diseases Area Under Curve Cross-Sectional Studies Sensitivity and Specificity Aged Machine Learning Male Middle Aged
View on PubMed DOI

Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.

IEEE transactions on medical imaging May 31, 2019
Diagnosis and treatment guidance are aided by detecting relevant biomarkers in medical images. Although supervised deep learning can perform accurate segmentation of pathological areas, it is limited by requiring a priori definitions of these regions...
Retina Supervised Machine Learning Artifacts Algorithms Humans Image Processing, Computer-Assisted Tomography, Optical Coherence
View on PubMed DOI

Automated Machine Learning Diagnostic Support System as a Computational Biomarker for Detecting Drug-Induced Liver Injury Patterns in Whole Slide Liver Pathology Images.

Assay and drug development technologies May 31, 2019
in vivor p R.
Automation Chemical and Drug Induced Liver Injury Toxicogenetics Computational Biology Rats Liver Biomarkers Animals Humans Machine Learning
View on PubMed DOI

Ontology mapping for semantically enabled applications.

Drug discovery today May 31, 2019
In this review, we provide a summary of recent progress in ontology mapping (OM) at a crucial time when biomedical research is under a deluge of an increasing amount and variety of data. This is particularly important for realising the full potential...
Semantics Biological Ontologies Algorithms Drug Discovery Humans Machine Learning
View on PubMed DOI

Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Medical Errors Radiotherapy Setup Errors Technology, Radiologic Dose Fractionation, Radiation Radiotherapy, Image-Guided Simulation Training False Positive Reactions Radiotherapy Dosage Organ Specificity Cohort Studies ROC Curve Bayes Theorem Datasets as Topic False Negative Reactions Radiologists Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Algorithms Humans Neoplasms
View on PubMed DOI

Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques.

Clinical and translational science May 31, 2019
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive biomarkers for diabetic nephropathy (DN), a common complication of type 2 diabetes mellitus (T2DM). A retrospective analysis of the Action to Control...
Female Risk Factors Sensitivity and Specificity Male Humans Machine Learning Biomarkers Data Mining Middle Aged Diabetes Mellitus, Type 2 Incidence Diabetic Nephropathies ROC Curve Models, Theoretical
View on PubMed DOI

BACH: Grand challenge on breast cancer histology images.

Medical image analysis May 31, 2019
Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires specialized analysi...
Microscopy Algorithms Pattern Recognition, Automated Humans Female Neural Networks, Computer Breast Neoplasms Staining and Labeling
View on PubMed DOI
Popular Topics
Recent Journals