AIMC Journal:
IEEE transactions on medical imaging

Showing 621 to 630 of 699 articles

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.

IEEE transactions on medical imaging Feb 4, 2016
Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches have been shown to produce en...
Humans Cell Nucleus Histocytochemistry Cell Proliferation Colonic Neoplasms Image Interpretation, Computer-Assisted Neural Networks, Computer Machine Learning Colon
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Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.

IEEE transactions on medical imaging Feb 3, 2016
In general image recognition problems, discriminative information often lies in local image patches. For example, most human identity information exists in the image patches containing human faces. The same situation stays in medical images as well. ...
Humans Face Middle Aged Neural Networks, Computer Extremities Infant Tomography, X-Ray Computed Torso Aged Adolescent Child, Preschool Aged, 80 and over Child Young Adult Image Interpretation, Computer-Assisted Adult
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A CNN Regression Approach for Real-Time 2D/3D Registration.

IEEE transactions on medical imaging Jan 26, 2016
In this paper, we present a Convolutional Neural Network (CNN) regression approach to address the two major limitations of existing intensity-based 2-D/3-D registration technology: 1) slow computation and 2) small capture range. Different from optimi...
Humans Neural Networks, Computer Machine Learning Imaging, Three-Dimensional Arthroplasty, Replacement, Knee Echocardiography, Transesophageal Regression Analysis Radiography Knee Joint
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Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.

IEEE transactions on medical imaging Jan 18, 2016
Segmenting male pelvic organs from CT images is a prerequisite for prostate cancer radiotherapy. The efficacy of radiation treatment highly depends on segmentation accuracy. However, accurate segmentation of male pelvic organs is challenging due to l...
Neural Networks, Computer Rectum Machine Learning Image Interpretation, Computer-Assisted Prostate Tomography, X-Ray Computed Urinary Bladder Pelvis Male Decision Trees Humans Prostatic Neoplasms
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Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.

IEEE transactions on medical imaging Jan 5, 2016
As shown in the literature, methods based on multiple templates usually achieve better performance, compared with those using only a single template for processing medical images. However, most existing multi-template based methods simply average or ...
Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging Humans Machine Learning Brain Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging
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3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest.

IEEE transactions on medical imaging Jan 5, 2016
In this paper, a fully automatic method is proposed to segment the kidney into multiple components: renal cortex, renal column, renal medulla and renal pelvis, in clinical 3D CT abdominal images. The proposed fast automatic segmentation method of kid...
Humans Machine Learning Tomography, X-Ray Computed Decision Trees Radiography, Abdominal Imaging, Three-Dimensional Kidney Models, Theoretical
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Multiple Kernel Point Set Registration.

IEEE transactions on medical imaging Dec 22, 2015
The finite Gaussian mixture model with kernel correlation is a flexible tool that has recently received attention for point set registration. While there are many algorithms for point set registration presented in the literature, an important issue a...
Machine Learning Algorithms Four-Dimensional Computed Tomography Databases, Factual Models, Theoretical Humans Radiography, Thoracic Pulmonary Disease, Chronic Obstructive Normal Distribution Animals Image Processing, Computer-Assisted
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Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.

IEEE transactions on medical imaging Dec 11, 2015
Automatic and reliable segmentation of the prostate is an important but difficult task for various clinical applications such as prostate cancer radiotherapy. The main challenges for accurate MR prostate localization lie in two aspects: (1) inhomogen...
Magnetic Resonance Imaging Prostate Machine Learning Algorithms Male Humans
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Interactive Cell Segmentation Based on Active and Semi-Supervised Learning.

IEEE transactions on medical imaging Oct 26, 2015
Automatic cell segmentation can hardly be flawless due to the complexity of image data particularly when time-lapse experiments last for a long time without biomarkers. To address this issue, we propose an interactive cell segmentation method by clas...
Microscopy Image Processing, Computer-Assisted Cytological Techniques Humans Supervised Machine Learning Algorithms
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Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning.

IEEE transactions on medical imaging Oct 26, 2015
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures. In this paper, we propose an aut...
Kidney Histocytochemistry Humans Neoplasms Machine Learning Lung Image Processing, Computer-Assisted
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