AIMC Journal:
IEEE transactions on medical imaging

Showing 541 to 550 of 696 articles

Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.

IEEE transactions on medical imaging Oct 18, 2018
Image guidance improves tissue sampling during biopsy by allowing the physician to visualize the tip and trajectory of the biopsy needle relative to the target in MRI, CT, ultrasound, or other relevant imagery. This paper reports a system for fast au...
Humans Image-Guided Biopsy Magnetic Resonance Imaging Prostatic Neoplasms Prostate Neural Networks, Computer Algorithms Male
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Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.

IEEE transactions on medical imaging Oct 17, 2018
The accurate identification of malignant lung nodules on chest CT is critical for the early detection of lung cancer, which also offers patients the best chance of cure. Deep learning methods have recently been successfully introduced to computer vis...
Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Tomography, X-Ray Computed Humans Lung Algorithms Deep Learning
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Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.

IEEE transactions on medical imaging Oct 12, 2018
Prostate cancer is the most common and second most deadly form of cancer in men in the United States. The classification of prostate cancers based on Gleason grading using histological images is important in risk assessment and treatment planning for...
Male Prostatic Neoplasms Neoplasm Grading Prostate Image Interpretation, Computer-Assisted Histocytochemistry Humans Neural Networks, Computer
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Deep Geodesic Learning for Segmentation and Anatomical Landmarking.

IEEE transactions on medical imaging Oct 12, 2018
In this paper, we propose a novel deep learning framework for anatomy segmentation and automatic landmarking. Specifically, we focus on the challenging problem of mandible segmentation from cone-beam computed tomography (CBCT) scans and identificatio...
Young Adult Adult Male Humans Algorithms Female Cone-Beam Computed Tomography Mandible Anatomic Landmarks Deep Learning Adolescent Child Image Interpretation, Computer-Assisted Craniofacial Abnormalities
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Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.

IEEE transactions on medical imaging Oct 9, 2018
The early postnatal period witnesses rapid and dynamic brain development. However, the relationship between brain anatomical structure and cognitive ability is still unknown. Currently, there is no explicit model to characterize this relationship in ...
Cerebral Cortex Infant, Newborn Infant Child, Preschool Humans Longitudinal Studies Machine Learning Magnetic Resonance Imaging Algorithms Image Interpretation, Computer-Assisted
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3-D Quantification of Filopodia in Motile Cancer Cells.

IEEE transactions on medical imaging Oct 5, 2018
We present a 3D bioimage analysis workflow to quantitatively analyze single, actin-stained cells with filopodial protrusions of diverse structural and temporal attributes, such as number, length, thickness, level of branching, and lifetime, in time-l...
Algorithms Neoplasms Spatio-Temporal Analysis Humans Neural Networks, Computer Adenocarcinoma Cell Line Imaging, Three-Dimensional Pseudopodia Image Processing, Computer-Assisted Lung Neoplasms
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Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images.

IEEE transactions on medical imaging Sep 24, 2018
We propose a framework for localization and classification of masses in breast ultrasound images. We have experimentally found that training convolutional neural network-based mass detectors with large, weakly annotated datasets presents a non-trivia...
Deep Learning Humans Ultrasonography Image Processing, Computer-Assisted Supervised Machine Learning Neural Networks, Computer Female Algorithms Breast Neoplasms Republic of Korea
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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.

IEEE transactions on medical imaging Sep 12, 2018
PET image reconstruction is challenging due to the ill-poseness of the inverse problem and limited number of detected photons. Recently, the deep neural networks have been widely and successfully used in computer vision tasks and attracted growing in...
Likelihood Functions Computer Simulation Humans Image Processing, Computer-Assisted Neural Networks, Computer Positron-Emission Tomography
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An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.

IEEE transactions on medical imaging Sep 3, 2018
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham prognostic index plus, which uses breast cancer relevant biomarkers to stain tumor tissues prepared on tissue microarray (TMA). To determine the molecul...
Breast Neoplasms Deep Learning Image Interpretation, Computer-Assisted Immunohistochemistry Tissue Array Analysis Algorithms Databases, Factual Humans Female
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Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning.

IEEE transactions on medical imaging Aug 30, 2018
The accurate segmentation of the brain surface in post-surgical computed tomography (CT) images is critical for image-guided neurosurgical procedures in epilepsy patients. Following surgical implantation of intracranial electrodes, surgeons require a...
Surgery, Computer-Assisted Tomography, X-Ray Computed Humans Artifacts Deep Learning Brain Image Processing, Computer-Assisted
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