AIMC Topic: Image Interpretation, Computer-Assisted

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Volumetric Histogram-Based Alzheimer's Disease Detection Using Support Vector Machine.

Journal of Alzheimer's disease : JAD Jan 1, 2019
In this research work, machine learning techniques are used to classify magnetic resonance imaging brain scans of people with Alzheimer's disease. This work deals with binary classification between Alzheimer's disease and cognitively normal. Supervis...
Reproducibility of Results Support Vector Machine Magnetic Resonance Imaging Decision Trees Machine Learning Algorithms Databases, Factual Neuroimaging Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Humans
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A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.

Technology in cancer research & treatment Jan 1, 2019
PURPOSE: In prostate focal therapy, it is important to accurately localize malignant lesions in order to increase biological effect of the tumor region while achieving a reduction in dose to noncancerous tissue. In this work, we proposed a transfer l...
Humans Neural Networks, Computer Algorithms Prostatic Neoplasms ROC Curve Image Interpretation, Computer-Assisted Reproducibility of Results Image Processing, Computer-Assisted Male Magnetic Resonance Imaging Deep Learning Area Under Curve
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Feasibility of Image Registration for Ultrasound-Guided Prostate Radiotherapy Based on Similarity Measurement by a Convolutional Neural Network.

Technology in cancer research & treatment Jan 1, 2019
PURPOSE: Registration of 3-dimensional ultrasound images poses a challenge for ultrasound-guided radiation therapy of the prostate since ultrasound image content changes significantly with anatomic motion and ultrasound probe position. The purpose of...
Image Interpretation, Computer-Assisted Movement Radiotherapy, Image-Guided Fiducial Markers Imaging, Three-Dimensional Humans Prostatic Neoplasms Neural Networks, Computer Feasibility Studies Algorithms Male Ultrasonography
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Automatic hip geometric feature extraction in DXA imaging using regional random forest.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Hip fracture is considered one of the salient disability factors across the global population. People with hip fractures are prone to become permanently disabled or die from complications. Although currently the premier determiner, bone m...
Decision Trees Humans Image Interpretation, Computer-Assisted Machine Learning Hip Fractures Algorithms Absorptiometry, Photon Pelvic Bones
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Automated Renal Cancer Grading Using Nuclear Pleomorphic Patterns.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: Nuclear pleomorphic patterns are essential for Fuhrman grading of clear cell renal cell carcinoma (ccRCC). Manual observation of renal histopathologic slides may lead to subjective and inconsistent assessment between pathologists. An automat...
Carcinoma, Renal Cell Retrospective Studies Humans Neoplasm Grading Machine Learning Image Interpretation, Computer-Assisted Prognosis Kidney Neoplasms
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Special section: Advances in artificial intelligence in biomedical image analysis.

Australasian physical & engineering sciences in medicine Dec 1, 2018
Humans Artificial Intelligence Diagnostic Imaging Image Interpretation, Computer-Assisted
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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.

The American journal of surgical pathology Dec 1, 2018
Advances in the quality of whole-slide images have set the stage for the clinical use of digital images in anatomic pathology. Along with advances in computer image analysis, this raises the possibility for computer-assisted diagnostics in pathology ...
Pathology, Clinical Neoplasm Micrometastasis Predictive Value of Tests Biopsy Workflow Image Interpretation, Computer-Assisted Observer Variation Pattern Recognition, Automated Proof of Concept Study Reproducibility of Results Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Time Factors Lymph Nodes Lymphatic Metastasis Humans Female
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Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.

Journal of digital imaging Dec 1, 2018
The aim of this study is to evaluate the role of convolutional neural network (CNN) in predicting axillary lymph node metastasis, using a breast MRI dataset. An institutional review board (IRB)-approved retrospective review of our database from 1/201...
Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Axilla Image Interpretation, Computer-Assisted Datasets as Topic Humans Neural Networks, Computer Algorithms Retrospective Studies Breast Neoplasms
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Fully Automated Echocardiogram Interpretation in Clinical Practice.

Circulation Oct 16, 2018
BACKGROUND: Automated cardiac image interpretation has the potential to transform clinical practice in multiple ways, including enabling serial assessment of cardiac function by nonexperts in primary care and rural settings. We hypothesized that adva...
Automation Hypertension, Pulmonary Amyloidosis Predictive Value of Tests Image Interpretation, Computer-Assisted Cardiomyopathy, Hypertrophic Humans Reproducibility of Results Ventricular Function, Left Stroke Volume Echocardiography Deep Learning
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Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks.

Journal of digital imaging Oct 1, 2018
The purposes of this study are to evaluate the feasibility of protocol determination with a convolutional neural networks (CNN) classifier based on short-text classification and to evaluate the agreements by comparing protocols determined by CNN with...
Musculoskeletal System Humans Female Sensitivity and Specificity Feasibility Studies Neural Networks, Computer Male Efficiency, Organizational Algorithms Middle Aged Image Interpretation, Computer-Assisted Databases, Factual Musculoskeletal Diseases Deep Learning Magnetic Resonance Imaging Workflow
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