AIMC Journal:
IEEE transactions on medical imaging

Showing 511 to 520 of 692 articles

Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection.

IEEE transactions on medical imaging Jan 25, 2019
Cell nuclei detection is a challenging research topic because of limitations in cellular image quality and diversity of nuclear morphology, i.e., varying nuclei shapes, sizes, and overlaps between multiple cell nuclei. This has been a topic of enduri...
Colon Swine Image Processing, Computer-Assisted Cell Nucleus Deep Learning Algorithms Databases, Factual Animals
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Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.

IEEE transactions on medical imaging Jan 23, 2019
Deep learning approaches have achieved state-of-the-art performance in cardiac magnetic resonance (CMR) image segmentation. However, most approaches have focused on learning image intensity features for segmentation, whereas the incorporation of anat...
Humans Algorithms Heart Deep Learning Magnetic Resonance Imaging, Cine Cardiac Imaging Techniques Imaging, Three-Dimensional
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Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches.

IEEE transactions on medical imaging Jan 23, 2019
Risk stratification (characterization) of tumors from radiology images can be more accurate and faster with computer-aided diagnosis (CAD) tools. Tumor characterization through such tools can also enable non-invasive cancer staging, prognosis, and fo...
Deep Learning Imaging, Three-Dimensional Lung Neoplasms Humans Algorithms Image Interpretation, Computer-Assisted Unsupervised Machine Learning Pancreatic Neoplasms
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Attention Residual Learning for Skin Lesion Classification.

IEEE transactions on medical imaging Jan 21, 2019
Automated skin lesion classification in dermoscopy images is an essential way to improve the diagnostic performance and reduce melanoma deaths. Although deep convolutional neural networks (DCNNs) have made dramatic breakthroughs in many image classif...
Image Interpretation, Computer-Assisted Skin Skin Diseases Humans Dermoscopy Neural Networks, Computer Signal Processing, Computer-Assisted Databases, Factual
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Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.

IEEE transactions on medical imaging Jan 7, 2019
Lymph node metastasis is one of the most important indicators in breast cancer diagnosis, that is traditionally observed under the microscope by pathologists. In recent years, with the dramatic advance of high-throughput scanning and deep learning te...
Humans Algorithms Lymphatic Metastasis Image Interpretation, Computer-Assisted Deep Learning Histocytochemistry Lymph Nodes
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Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss.

IEEE transactions on medical imaging Dec 24, 2018
Accurate detection of end-systolic (ES) and end-diastolic (ED) frames in an echocardiographic cine series can be difficult but necessary pre-processing step for the development of automatic systems to measure cardiac parameters. The detection task is...
Humans Algorithms Deep Learning Heart Echocardiography Image Processing, Computer-Assisted Myocardial Contraction
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PET Image Reconstruction Using Deep Image Prior.

IEEE transactions on medical imaging Dec 19, 2018
Recently, deep neural networks have been widely and successfully applied in computer vision tasks and have attracted growing interest in medical imaging. One barrier for the application of deep neural networks to medical imaging is the need for large...
Unsupervised Machine Learning Algorithms Positron-Emission Tomography Deep Learning Brain Phantoms, Imaging Humans Image Processing, Computer-Assisted
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MR Image Reconstruction Using Deep Density Priors.

IEEE transactions on medical imaging Dec 17, 2018
Algorithms for magnetic resonance (MR) image reconstruction from undersampled measurements exploit prior information to compensate for missing k-space data. Deep learning (DL) provides a powerful framework for extracting such information from existin...
Connectome Deep Learning Humans Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.

IEEE transactions on medical imaging Dec 7, 2018
Automatic event detection in cell videos is essential for monitoring cell populations in biomedicine. Deep learning methods have advantages over traditional approaches for cell event detection due to their ability to capture more discriminative featu...
Pattern Recognition, Automated Aorta Unsupervised Machine Learning Cytological Techniques Animals Molecular Imaging Microscopy Cattle Video Recording Neural Networks, Computer Image Processing, Computer-Assisted Cells, Cultured
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Weakly Supervised Lesion Detection From Fundus Images.

IEEE transactions on medical imaging Dec 6, 2018
Early diagnosis and continuous monitoring of patients suffering from eye diseases have been major concerns in the computer-aided detection techniques. Detecting one or several specific types of retinal lesions has made a significant breakthrough in c...
Supervised Machine Learning Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Normal Distribution Retinal Diseases Algorithms Fundus Oculi Retina Humans
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