AIMC Topic:
Image Interpretation, Computer-Assisted
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An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
Computational and mathematical methods in medicine
Jul 14, 2020
Among the currently proposed brain segmentation methods, brain tumor segmentation methods based on traditional image processing and machine learning are not ideal enough. Therefore, deep learning-based brain segmentation methods are widely used. In t...
Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies.
Laboratory investigation; a journal of technical methods and pathology
Jul 13, 2020
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for risk stratification and management of patients with fatty liver diseases and in the decision to use donor livers for transplantation. However, patholo...
Fully bayesian longitudinal unsupervised learning for the assessment and visualization of AD heterogeneity and progression.
Aging
Jul 9, 2020
Tau pathology and brain atrophy are the closest correlate of cognitive decline in Alzheimer's disease (AD). Understanding heterogeneity and longitudinal progression of atrophy during the disease course will play a key role in understanding AD pathoge...
Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).
The international journal of cardiovascular imaging
Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Anatomic Landmarks
Image Interpretation, Computer-Assisted
Gestational Age
Double Outlet Right Ventricle
Ultrasonography, Prenatal
Spatio-Temporal Analysis
Diagnosis, Computer-Assisted
Predictive Value of Tests
Fetal Heart
Echocardiography, Four-Dimensional
Humans
Artificial Intelligence
Pregnancy
Female
Reproducibility of Results
Young Adult
Adult
Fully multi-target segmentation for breast ultrasound image based on fully convolutional network.
Medical & biological engineering & computing
Jul 8, 2020
Ultrasound image segmentation plays an important role in computer-aided diagnosis of breast cancer. Existing approaches focused on extracting the tumor tissue to characterize the tumor class. However, other tissues are also helpful for providing the ...
Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes.
Scientific reports
Jul 8, 2020
Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogeneous clinical presentation that includes three main subtypes: behavioural-variant FTD, non-fluent/agrammatic variant primary progressive aphasia and se...
Functional magnetic resonance imaging multivoxel pattern analysis reveals neuronal substrates for collaboration and competition with myopic and predictive strategic reasoning.
Human brain mapping
Jul 7, 2020
Competition and collaboration are strategies that can be used to optimize the outcomes of social interactions. Research into the neuronal substrates underlying these aspects of social behavior has been limited due to the difficulty in distinguishing ...
A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI.
Scientific reports
Jun 29, 2020
Multiparametric magnetic resonance imaging (mpMRI) has been shown to improve radiologists' performance in the clinical diagnosis of breast cancer. This machine learning study develops a deep transfer learning computer-aided diagnosis (CADx) methodolo...
Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19.
Current problems in diagnostic radiology
Jun 27, 2020
The clinical management of COVID-19 is challenging. Medical imaging plays a critical role in the early detection, clinical monitoring and outcomes assessment of this disease. Chest x-ray radiography and computed tomography) are the standard imaging m...
Estimation and validation of individualized dynamic brain models with resting state fMRI.
NeuroImage
Jun 27, 2020
A key challenge for neuroscience is to develop generative, causal models of the human nervous system in an individualized, data-driven manner. Previous initiatives have either constructed biologically-plausible models that are not constrained by indi...
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