AIMC Topic:
Image Interpretation, Computer-Assisted

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Classification and Recognition of Ovarian Cells Based on Two-Dimensional Light Scattering Technology.

Journal of medical systems Mar 27, 2019
Ovarian cancer is a very insidious malignant tumor. In order to detect ovarian cancer cells early, the classification and recognition of ovarian cancer cells is mainly studied by two-dimensional light scattering technology. Firstly, a single-cell two...
Image Interpretation, Computer-Assisted Optical Imaging Anisotropy Female Sensitivity and Specificity Cell Line, Tumor Ovarian Neoplasms Humans Machine Learning Algorithms
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Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.

PLoS computational biology Mar 27, 2019
Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is mastering computer vision tasks, its application to digital pathology is natural, with the promise of aiding in routine reporting and standardizing resu...
Algorithms Reproducibility of Results Image Interpretation, Computer-Assisted Histological Techniques Humans Artificial Intelligence Software
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Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores.

IEEE transactions on cybernetics Mar 26, 2019
As a hot topic in brain disease prognosis, predicting clinical measures of subjects based on brain magnetic resonance imaging (MRI) data helps to assess the stage of pathology and predict future development of the disease. Due to incomplete clinical ...
Supervised Machine Learning Humans Prognosis Algorithms Deep Learning Alzheimer Disease Brain Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.

Radiology Mar 26, 2019
Background Nasopharyngeal carcinoma (NPC) may be cured with radiation therapy. Tumor proximity to critical structures demands accuracy in tumor delineation to avoid toxicities from radiation therapy; however, tumor target contouring for head and neck...
Humans Deep Learning Algorithms Adult Adolescent Nasopharyngeal Neoplasms Image Interpretation, Computer-Assisted Male Retrospective Studies Magnetic Resonance Imaging Middle Aged Nasopharynx Female Nasopharyngeal Carcinoma Young Adult
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Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net.

Ultrasonics Mar 23, 2019
A Fully Convolutional Network (FCN) based deep architecture called Dual Path U-Net (DPU-Net) is proposed for automatic segmentation of the lumen and media-adventitia in IntraVascular UltraSound (IVUS) frames, which is crucial for diagnosis of many ca...
Artifacts Deep Learning Humans Coronary Vessels Ultrasonography, Interventional Algorithms Image Enhancement Image Interpretation, Computer-Assisted Reproducibility of Results
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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...
Breast Image Interpretation, Computer-Assisted Immunohistochemistry Receptor, ErbB-2 Breast Neoplasms Biomarkers, Tumor Deep Learning Humans Algorithms Female
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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...
Image Interpretation, Computer-Assisted Hippocampus Neuroimaging Deep Learning Magnetic Resonance Imaging Alzheimer Disease Humans Algorithms
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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, ...
Middle Aged Deep Learning Dementia Magnetic Resonance Imaging Humans Brain Aged Image Interpretation, Computer-Assisted Spin Labels
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Glioma Tumor Grade Identification Using Artificial Intelligent Techniques.

Journal of medical systems Mar 21, 2019
Computer aided diagnosis using artificial intelligent techniques made tremendous improvement in medical applications especially for easy detection of tumor area, tumor type and grades. This paper presents automatic glioma tumor grade identification f...
Adult Sensitivity and Specificity Brain Neoplasms Artificial Intelligence Machine Learning Female Humans Magnetic Resonance Imaging Neural Networks, Computer Neoplasm Grading Tumor Burden Male Image Interpretation, Computer-Assisted Middle Aged Glioma
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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 Databases, Factual Retinal Diseases Image Interpretation, Computer-Assisted ROC Curve Diagnostic Techniques, Ophthalmological Fundus Oculi Humans
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