AIMC Journal:
IEEE transactions on medical imaging

Showing 331 to 340 of 687 articles

Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation.

IEEE transactions on medical imaging Sep 30, 2021
Annotation scarcity is a long-standing problem in medical image analysis area. To efficiently leverage limited annotations, abundant unlabeled data are additionally exploited in semi-supervised learning, while well-established cross-modality data are...
Heart Humans Supervised Machine Learning
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Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images.

IEEE transactions on medical imaging Aug 31, 2021
We report the ability of two deep learning-based decision systems to stratify non-small cell lung cancer (NSCLC) patients treated with checkpoint inhibitor therapy into two distinct survival groups. Both systems analyze functional and morphological p...
Immunohistochemistry Lung Neoplasms B7-H1 Antigen Carcinoma, Non-Small-Cell Lung Biomarkers, Tumor Survival Analysis Deep Learning Humans
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Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos.

IEEE transactions on medical imaging Aug 31, 2021
In recent years, deep learning has been widely used in breast cancer diagnosis, and many high-performance models have emerged. However, most of the existing deep learning models are mainly based on static breast ultrasound (US) images. In actual diag...
Breast Ultrasonography, Mammary Humans Breast Neoplasms Female Ultrasonography Deep Learning Contrast Media
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Contralaterally Enhanced Networks for Thoracic Disease Detection.

IEEE transactions on medical imaging Aug 31, 2021
Identifying and locating diseases in chest X-rays are very challenging, due to the low visual contrast between normal and abnormal regions, and distortions caused by other overlapping tissues. An interesting phenomenon is that there exist many simila...
Lung Thoracic Diseases Deep Learning Humans Radiography Thorax
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Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images.

IEEE transactions on medical imaging Aug 31, 2021
Instance segmentation is of great importance for many biological applications, such as study of neural cell interactions, plant phenotyping, and quantitatively measuring how cells react to drug treatment. In this paper, we propose a novel box-based i...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Neural Networks, Computer Machine Learning
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Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI.

IEEE transactions on medical imaging Aug 31, 2021
Structural magnetic resonance imaging (sMRI) is widely used for the brain neurological disease diagnosis, which could reflect the variations of brain. However, due to the local brain atrophy, only a few regions in sMRI scans have obvious structural c...
Alzheimer Disease Attention Cognitive Dysfunction Magnetic Resonance Imaging Deep Learning Humans Brain
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Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks.

IEEE transactions on medical imaging Aug 31, 2021
A variety of deep neural network (DNN)-based image denoising methods have been proposed for use with medical images. Traditional measures of image quality (IQ) have been employed to optimize and evaluate these methods. However, the objective evaluati...
Task Performance and Analysis Diagnostic Imaging Neural Networks, Computer Image Processing, Computer-Assisted
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Electromechanical Wave Imaging With Machine Learning for Automated Isochrone Generation.

IEEE transactions on medical imaging Aug 31, 2021
Standard Electromechanical Wave Imaging isochrone generation relies on manual selection of zero-crossing (ZC) locations on incremental strain curves for a number of pixels in the segmented myocardium for each echocardiographic view and patient. When ...
Humans Animals Support Vector Machine Machine Learning Algorithms Heart Diagnostic Imaging Dogs
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Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation.

IEEE transactions on medical imaging Aug 31, 2021
Reliable motion estimation and strain analysis using 3D+ time echocardiography (4DE) for localization and characterization of myocardial injury is valuable for early detection and targeted interventions. However, motion estimation is difficult due to...
Neural Networks, Computer Heart Supervised Machine Learning Motion
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GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs.

IEEE transactions on medical imaging Aug 31, 2021
In the last two years learning-based methods have started to show encouraging results in different supervised and unsupervised medical image registration tasks. Deep neural networks enable (near) real time applications through fast inference times an...
Lung Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Magnetic Resonance Imaging
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