AIMC Topic: Diagnosis, Computer-Assisted

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Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.

PloS one Jan 19, 2018
Although there have been reports of the successful diagnosis of skin disorders using deep learning, unrealistically large clinical image datasets are required for artificial intelligence (AI) training. We created datasets of standardized nail images ...
Aged Young Adult Adult Male Machine Learning Algorithms Databases, Factual Female Image Interpretation, Computer-Assisted Foot Dermatoses Hand Dermatoses Onychomycosis Middle Aged Diagnosis, Computer-Assisted Area Under Curve Humans Dermatologists Neural Networks, Computer Artificial Intelligence
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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 Neural Networks, Computer Machine Learning Reproducibility of Results Databases, Factual Humans Breast Neoplasms Female Diagnosis, Computer-Assisted Early Detection of Cancer
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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...
Reproducibility of Results Sensitivity and Specificity Male Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Diabetes Mellitus, Type 2 Image Processing, Computer-Assisted Humans Machine Learning Female Automation Iris
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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...
Diabetes Complications Health Information Systems Male Female Middle Aged Acquired Immunodeficiency Syndrome Young Adult Public Health Adult Tuberculosis, Pulmonary Diagnosis, Computer-Assisted Sensitivity and Specificity Colombia Humans Ill-Housed Persons Neural Networks, Computer
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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...
Computer Graphics Reproducibility of Results Diagnosis, Computer-Assisted China Models, Theoretical Models, Statistical Signal Processing, Computer-Assisted Markov Chains Likelihood Functions Neural Networks, Computer Machine Learning Algorithms Humans Electronic Health Records
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Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features.

Computers in biology and medicine Jan 3, 2018
Liver is the heaviest internal organ of the human body and performs many vital functions. Prolonged cirrhosis and fatty liver disease may lead to the formation of benign or malignant lesions in this organ, and an early and reliable evaluation of thes...
Adult Male Middle Aged Diagnosis, Computer-Assisted Humans Machine Learning Female Ultrasonography Liver Neoplasms Image Processing, Computer-Assisted Liver Cirrhosis
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Prediction of venous thromboembolism using semantic and sentiment analyses of clinical narratives.

Computers in biology and medicine Jan 3, 2018
Venous thromboembolism (VTE) is the third most common cardiovascular disorder. It affects people of both genders at ages as young as 20 years. The increased number of VTE cases with a high fatality rate of 25% at first occurrence makes preventive mea...
Diagnosis, Computer-Assisted Humans Semantic Web Support Vector Machine Electronic Health Records Predictive Value of Tests Female Venous Thromboembolism Male
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Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.

Computers in biology and medicine Jan 2, 2018
Coronary artery disease (CAD) is the most common cause of heart disease globally. This is because there is no symptom exhibited in its initial phase until the disease progresses to an advanced stage. The electrocardiogram (ECG) is a widely accessible...
Male Diagnosis, Computer-Assisted Electrocardiography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Female Coronary Artery Disease
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Multiscale High-Level Feature Fusion for Histopathological Image Classification.

Computational and mathematical methods in medicine Dec 31, 2017
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It c...
ROC Curve Image Processing, Computer-Assisted Models, Statistical Principal Component Analysis Neural Networks, Computer Software Area Under Curve Algorithms Machine Learning Diagnostic Imaging Reproducibility of Results False Positive Reactions Diagnosis, Computer-Assisted
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Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.

Computational and mathematical methods in medicine Dec 31, 2017
Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The inv...
Algorithms Diagnosis, Computer-Assisted Australia Humans Female Image Processing, Computer-Assisted Bayes Theorem Neural Networks, Computer Reproducibility of Results Support Vector Machine Machine Learning Breast Neoplasms Cluster Analysis
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