AIMC Topic:
Image Interpretation, Computer-Assisted
Clear Filters Showing 1511 to 1520 of 2721 articles
Musculoskeletal Imaging Applications of Artificial Intelligence.
Seminars in musculoskeletal radiology
Jan 28, 2020
A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI.
European radiology experimental
Jan 28, 2020
BACKGROUND: Differentiate malignant from benign enhancing foci on breast magnetic resonance imaging (MRI) through radiomic signature.
Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease.
NeuroImage. Clinical
Jan 26, 2020
Alzheimer's disease (AD) is characterised by a dynamic process of neurocognitive changes from normal cognition to mild cognitive impairment (MCI) and progression to dementia. However, not all individuals with MCI develop dementia. Predicting whether ...
Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.
Computer methods and programs in biomedicine
Jan 25, 2020
Breast ultrasound and computer aided diagnosis (CAD) has been used to classify tumors into benignancy or malignancy. However, conventional CAD software has some problems (such as handcrafted features are hard to design; conventional CAD systems are d...
Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network.
Computer methods and programs in biomedicine
Jan 25, 2020
BACKGROUND AND OBJECTIVES: Automated breast ultrasound (ABUS) is a widely used screening modality for breast cancer detection and diagnosis. In this study, an effective and fast computer-aided detection (CADe) system based on a 3-D convolutional neur...
Segmentation of breast ultrasound image with semantic classification of superpixels.
Medical image analysis
Jan 25, 2020
Breast cancer is a great threat to females. Ultrasound imaging has been applied extensively in diagnosis of breast cancer. Due to the poor image quality, segmentation of breast ultrasound (BUS) image remains a very challenging task. Besides, BUS imag...
Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer.
Artificial intelligence in medicine
Jan 25, 2020
Breast cancer is the most prevalent invasive type of cancer among women. The mortality rate of the disease can be reduced considerably through timely prognosis and felicitous treatment planning, by utilizing the computer aided detection and diagnosis...
Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation.
Computational and mathematical methods in medicine
Jan 24, 2020
Visual effects of medical image have a great impact on clinical assistant diagnosis. At present, medical image fusion has become a powerful means of clinical application. The traditional medical image fusion methods have the problem of poor fusion re...
Feasibility of a sub-3-minute imaging strategy for ungated quiescent interval slice-selective MRA of the extracranial carotid arteries using radial k-space sampling and deep learning-based image processing.
Magnetic resonance in medicine
Jan 23, 2020
PURPOSE: To develop and test the feasibility of a sub-3-minute imaging strategy for non-contrast evaluation of the extracranial carotid arteries using ungated quiescent interval slice-selective (QISS) MRA, combining single-shot radial sampling with d...
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