AIMC Journal:
IEEE transactions on medical imaging

Showing 491 to 500 of 691 articles

Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring.

IEEE transactions on medical imaging Mar 22, 2019
Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast cancer is regarded as a significant predictive and prognostic marker. We propose a novel deep reinforcement learning (DRL)-based model that treats imm...
Receptor, ErbB-2 Breast Image Interpretation, Computer-Assisted Immunohistochemistry Biomarkers, Tumor Algorithms Humans Deep Learning Female Breast Neoplasms
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TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors.

IEEE transactions on medical imaging Mar 22, 2019
In this paper, we introduce and compare different approaches for incorporating shape prior information into neural network-based image segmentation. Specifically, we introduce the concept of template transformer networks, where a shape template is de...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Coronary Vessels Neural Networks, Computer Algorithms Humans
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Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding.

IEEE transactions on medical imaging Mar 21, 2019
Hippocampus segmentation plays a significant role in mental disease diagnoses, such as Alzheimer's disease, epilepsy, and so on. Patch-based multi-atlas segmentation (PBMAS) approach is a popular method for hippocampus segmentation and has achieved a...
Humans Algorithms Deep Learning Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Image Interpretation, Computer-Assisted Hippocampus
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Arterial Spin Labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant Learning.

IEEE transactions on medical imaging Mar 21, 2019
Adequate medical images are often indispensable in contemporary deep learning-based medical imaging studies, although the acquisition of certain image modalities may be limited due to several issues including high costs and patients issues. However, ...
Spin Labels Aged Middle Aged Deep Learning Dementia Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Brain
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A Novel Weakly Supervised Multitask Architecture for Retinal Lesions Segmentation on Fundus Images.

IEEE transactions on medical imaging Mar 20, 2019
Obtaining the complete segmentation map of retinal lesions is the first step toward an automated diagnosis tool for retinopathy that is interpretable in its decision-making. However, the limited availability of ground truth lesion detection maps at a...
Retina Supervised Machine Learning Image Interpretation, Computer-Assisted Retinal Diseases Diagnostic Techniques, Ophthalmological Databases, Factual ROC Curve Fundus Oculi Humans
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Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks.

IEEE transactions on medical imaging Mar 19, 2019
Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosome's type and polarity using deep convolutional networ...
Supervised Machine Learning Chromosome Disorders Humans Female Image Interpretation, Computer-Assisted Karyotyping Male Neural Networks, Computer Chromosomes Algorithms
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MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features.

IEEE transactions on medical imaging Mar 18, 2019
In this paper, we propose bag of adversarial features (BAFs) for identifying mild traumatic brain injury (MTBI) patients from their diffusion magnetic resonance images (MRIs) (obtained within one month of injury) by incorporating unsupervised feature...
Brain Young Adult Adult Humans Algorithms Databases, Factual Brain Concussion Diffusion Magnetic Resonance Imaging Adolescent ROC Curve Image Interpretation, Computer-Assisted Middle Aged Deep Learning
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CE-Net: Context Encoder Network for 2D Medical Image Segmentation.

IEEE transactions on medical imaging Mar 7, 2019
Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation, ...
Retinal Vessels Image Processing, Computer-Assisted Retina Humans Neural Networks, Computer Algorithms Lung
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Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment.

IEEE transactions on medical imaging Mar 7, 2019
Recent works show that generative adversarial networks (GANs) can be successfully applied to image synthesis and semi-supervised learning, where, given a small labeled database and a large unlabeled database, the goal is to train a powerful classifie...
Humans Glaucoma Supervised Machine Learning Image Interpretation, Computer-Assisted Algorithms Diagnostic Techniques, Ophthalmological Databases, Factual Retina
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Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.

IEEE transactions on medical imaging Feb 27, 2019
Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing prostate cancer (PCa). However, mp-MRI for PCa diagnosis is currently limited by the qualitative or semi-quantitative interpretation criteria, leading t...
Prostate Male Humans Prostatic Neoplasms Image Interpretation, Computer-Assisted Neoplasm Grading Neural Networks, Computer Multiparametric Magnetic Resonance Imaging
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