AIMC Topic: Databases as Topic

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Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.

PloS one Aug 26, 2021
In this paper, we capture and explore the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon se...
Perception Paintings Databases as Topic Choice Behavior Statistics as Topic Likelihood Functions Humans Artificial Intelligence Time Factors
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A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System.

Scientific reports Aug 19, 2021
While a replicability crisis has shaken psychological sciences, the replicability of multivariate approaches for psychometric data factorization has received little attention. In particular, Exploratory Factor Analysis (EFA) is frequently promoted as...
Principal Component Analysis Algorithms Middle Aged Factor Analysis, Statistical Female Psychometrics Humans Adult Adolescent Aged Databases as Topic Machine Learning Male Aged, 80 and over Executive Function Young Adult
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A siamese network with adaptive gated feature fusion for individual knee OA features grades prediction.

Scientific reports Aug 19, 2021
Grading individual knee osteoarthritis (OA) features is a fine-grained knee OA severity assessment. Existing methods ignore following problems: (1) more accurately located knee joints benefit subsequent grades prediction; (2) they do not consider kne...
Imaging, Three-Dimensional Knee Joint Databases as Topic Humans Osteoarthritis, Knee Neural Networks, Computer Algorithms
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Fine-grained classification based on multi-scale pyramid convolution networks.

PloS one Jul 9, 2021
The large intra-class variance and small inter-class variance are the key factor affecting fine-grained image classification. Recently, some algorithms have been more accurate and efficient. However, these methods ignore the multi-scale information o...
Databases as Topic Neural Networks, Computer Algorithms
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Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning.

Scientific reports May 20, 2021
Wideband Absorbance Immittance (WAI) has been available for more than a decade, however its clinical use still faces the challenges of limited understanding and poor interpretation of WAI results. This study aimed to develop Machine Learning (ML) too...
Ear Radio Waves Acoustic Impedance Tests Pressure Statistics as Topic Otitis Media with Effusion Infant Adolescent Child, Preschool Image Processing, Computer-Assisted Databases as Topic Aged Child Young Adult Humans ROC Curve Adult Neural Networks, Computer Middle Aged Machine Learning
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Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival database.

Scientific reports May 19, 2021
In predictive microbiology, statistical models are employed to predict bacterial population behavior in food using environmental factors such as temperature, pH, and water activity. As the amount and complexity of data increase, handling all data wit...
Colony Count, Microbial Databases as Topic Machine Learning Temperature Microbial Viability Models, Biological Hydrogen-Ion Concentration Food Microbiology Listeria monocytogenes
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Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision.

Histopathology May 6, 2021
AIM: Artificial intelligence (AI)-based breast cancer grading may help to overcome perceived limitations of human assessment. Here, the potential value of AI grade was evaluated at the molecular level and in predicting patient outcome.
Artificial Intelligence Precision Medicine Prognosis Humans Cohort Studies Treatment Outcome Neoplasm Grading Survival Analysis Female Breast Neoplasms Biomarkers, Tumor ATPases Associated with Diverse Cellular Activities Image Interpretation, Computer-Assisted Databases as Topic Cell Cycle Proteins
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Comparative Analysis of CNN and RNN for Voice Pathology Detection.

BioMed research international Apr 14, 2021
Diagnosis on the basis of a computerized acoustic examination may play an incredibly important role in early diagnosis and in monitoring and even improving effective pathological speech diagnostics. Various acoustic metrics test the health of the voi...
Databases as Topic Voice Disorders Humans Neural Networks, Computer Algorithms Models, Theoretical
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Tens of images can suffice to train neural networks for malignant leukocyte detection.

Scientific reports Apr 12, 2021
Convolutional neural networks (CNNs) excel as powerful tools for biomedical image classification. It is commonly assumed that training CNNs requires large amounts of annotated data. This is a bottleneck in many medical applications where annotation r...
Humans Lymphocytes Neural Networks, Computer Databases as Topic Image Processing, Computer-Assisted Leukocytes
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Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data.

Nature communications Apr 6, 2021
Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these phenotypes are unclear, limiting treatment stratification. Machine learning can identify groups with similar features ...
Unsupervised Machine Learning Randomized Controlled Trials as Topic Models, Biological Recurrence Placebos Multiple Sclerosis Databases as Topic Middle Aged Disease Progression Humans Magnetic Resonance Imaging Female Reproducibility of Results Adult Male
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