AIMC Topic: Neural Networks, Computer

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A Survey on Machine Learning Algorithms for the Diagnosis of Breast Masses with Mammograms.

Current medical imaging Jan 1, 2020
Breast cancer is leading cancer among women for the past 60 years. There are no effective mechanisms for completely preventing breast cancer. Rather it can be detected at its earlier stages so that unnecessary biopsy can be reduced. Although there ar...
Radiologists Female Breast Breast Neoplasms Surveys and Questionnaires Machine Learning Mammography Algorithms Humans Neural Networks, Computer Diagnosis, Computer-Assisted
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Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.

Journal of X-ray science and technology Jan 1, 2020
BACKGROUND: Lung cancer is the most common cancer in the world. Computed tomography (CT) is the standard medical imaging modality for early lung nodule detection and diagnosis that improves patient's survival rate. Recently, deep learning algorithms,...
Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed Deep Learning Lung Sensitivity and Specificity Surveys and Questionnaires
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Frontal cephalometric landmarking: humans vs artificial neural networks.

International journal of computerized dentistry Jan 1, 2020
UNLABELLED: Frontal cephalometric radiography (frontal ceph) is one of the important diagnostic methods in orthodontics and maxillofacial surgery. It allows one to determine occlusion anomalies in the transverse and vertical planes and to evaluate th...
Cephalometry Humans Neural Networks, Computer Software
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PTML Modeling for Alzheimer's Disease: Design and Prediction of Virtual Multi-Target Inhibitors of GSK3B, HDAC1, and HDAC6.

Current topics in medicinal chemistry Jan 1, 2020
BACKGROUND: Alzheimer's disease is characterized by a progressive pattern of cognitive and functional impairment, which ultimately leads to death. Computational approaches have played an important role in the context of drug discovery for anti-Alzhei...
Humans Histone Deacetylase Inhibitors Machine Learning Neural Networks, Computer Alzheimer Disease Histone Deacetylase 1 Drug Design Protein Kinase Inhibitors Models, Molecular Histone Deacetylase 6 Glycogen Synthase Kinase 3 beta Molecular Structure
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[Artificial intelligence (AI) and hematological diseases: establishment of a peripheral blood convolutional neural network (CNN)-based digital morphology analysis system].

[Rinsho ketsueki] The Japanese journal of clinical hematology Jan 1, 2020
Morphological analysis of the blood smear is an essential element of diagnosing a disease hematologically and has been performed by conventional manual light microscopy for several decades. Although this method is the gold standard, it is labor-inten...
Hematologic Diseases Hematologic Tests Artificial Intelligence Microscopy Humans Neural Networks, Computer
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[Present and future perspectives of artificial intelligence: examples of mathematical approaches for analysis of disease dynamics].

[Rinsho ketsueki] The Japanese journal of clinical hematology Jan 1, 2020
Artificial intelligence (AI) has been applied widely in medicine. For example, deep neural network-based deep learning is particularly effective for pattern recognition in static medical images. Additionally, dynamic time series data are analysed ubi...
Humans Neural Networks, Computer Deep Learning Artificial Intelligence
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[Diagnosis of malignant pleural effusions using convolutional neural networks by the morphometric image analysis of facies of pleural exudate].

Khirurgiia Jan 1, 2020
OBJECTIVE: To estimate the possibility of diagnosis of malignant pleural effusion using convolutional neural networks of facies images of pleural exudates obtained by the method of wedge-shaped dehydration.
Sensitivity and Specificity Image Processing, Computer-Assisted Exudates and Transudates Neural Networks, Computer Reproducibility of Results Pleural Effusion, Malignant Humans
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Breast Infrared Thermography Segmentation Based on Adaptive Tuning of a Fully Convolutional Network.

Current medical imaging Jan 1, 2020
BACKGROUND: Accurate segmentation of Breast Infrared Thermography is an important step for early detection of breast pathological changes. Automatic segmentation of Breast Infrared Thermography is a very challenging task, as it is difficult to find a...
Neural Networks, Computer Algorithms Female Humans Image Interpretation, Computer-Assisted Breast Neoplasms Breast Thermography
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Real-time Detection of Aortic Valve in Echocardiography using Convolutional Neural Networks.

Current medical imaging Jan 1, 2020
BACKGROUND: Valvular heart disease is a serious disease leading to mortality and increasing medical care cost. The aortic valve is the most common valve affected by this disease. Doctors rely on echocardiogram for diagnosing and evaluating valvular h...
Image Interpretation, Computer-Assisted Neural Networks, Computer Female Heart Valve Diseases Humans Computer Systems Echocardiography Aortic Valve Deep Learning Male
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Neuro-Fuzzy Networks and Their Applications in Medical Fields.

Advances in experimental medicine and biology Jan 1, 2020
The fusion of artificial neural networks and fuzzy logic systems allows researchers to model real-world problems through the development of intelligent and adaptive systems. Artificial neural networks are able to adapt and learn by adjusting the inte...
Humans Medicine Fuzzy Logic Models, Biological Neural Networks, Computer Algorithms
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