AIMC Topic:
Image Interpretation, Computer-Assisted

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Dictionary Representations for Electrode Displacement Elastography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Oct 5, 2018
Ultrasound electrode displacement elastography (EDE) has demonstrated the potential to monitor ablated regions in human patients after minimally invasive microwave ablation procedures. Displacement estimation for EDE is commonly plagued by decorrelat...
Neoplasms Abdomen Supervised Machine Learning Electrodes Elasticity Imaging Techniques Ablation Techniques Humans Image Interpretation, Computer-Assisted Algorithms Phantoms, Imaging
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Medical Image Quality Assessment Using CSO Based Deep Neural Network.

Journal of medical systems Oct 5, 2018
This manuscript proposed a hybrid method of Deep Neural Network (DNN) and Cuckoo Search Optimization (CSO) with No-Reference Image Quality Assessment (NR-IQA) for achieving high accuracy, low computational complexity, flexibility and etc. of a medica...
Algorithms Time Factors Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Neural Networks, Computer
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Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks.

IEEE journal of biomedical and health informatics Oct 4, 2018
Manual segmentation of the brain tumors for cancer diagnosis from MRI images is a difficult, tedious, and time-consuming task. The accuracy and the robustness of brain tumor segmentation, therefore, are crucial for the diagnosis, treatment planning, ...
Brain Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Humans Databases, Factual Brain
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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.

Clinical physiology and functional imaging Oct 3, 2018
BACKGROUND: 18F-FDG-PET/CT has become a standard for assessing treatment response in patients with lymphoma. A subjective interpretation of the scan based on the Deauville 5-point scale has been widely adopted. However, inter-observer variability due...
Adult Male Middle Aged Adolescent Reproducibility of Results Aged Aged, 80 and over Young Adult Radiopharmaceuticals Lymphoma, Non-Hodgkin Image Interpretation, Computer-Assisted Automation Fluorodeoxyglucose F18 Treatment Outcome Liver Predictive Value of Tests Positron Emission Tomography Computed Tomography Humans Neural Networks, Computer Retrospective Studies Female Mediastinum Hodgkin Disease
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Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.

European radiology Oct 2, 2018
OBJECTIVE: We aimed to identify optimal machine-learning methods for preoperative differentiation of sacral chordoma (SC) and sacral giant cell tumour (SGCT) based on 3D non-enhanced computed tomography (CT) and CT-enhanced (CTE) features.
Giant Cell Tumors Sacrum Chordoma Male Retrospective Studies Middle Aged Humans Tomography, X-Ray Computed ROC Curve Female Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Adult Linear Models Spinal Neoplasms Support Vector Machine Machine Learning Diagnosis, Differential
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Development of a deep residual learning algorithm to screen for glaucoma from fundus photography.

Scientific reports Oct 2, 2018
The Purpose of the study was to develop a deep residual learning algorithm to screen for glaucoma from fundus photography and measure its diagnostic performance compared to Residents in Ophthalmology. A training dataset consisted of 1,364 color fundu...
Glaucoma Female Aged Adult Humans Fundus Oculi Image Interpretation, Computer-Assisted Datasets as Topic Ophthalmoscopy Male Photography Middle Aged Deep Learning ROC Curve
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A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation.

IEEE journal of biomedical and health informatics Sep 28, 2018
Automatic retinal vessel segmentation is a fundamental step in the diagnosis of eye-related diseases, in which both thick vessels and thin vessels are important features for symptom detection. All existing deep learning models attempt to segment both...
Deep Learning Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Algorithms Databases, Factual Retinal Vessels
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Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.

American journal of physiology. Renal physiology Sep 26, 2018
Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for collection of quantitative data in a high-throughput and consistent manner. Neither untrained individuals nor computers are presently capable of identify...
Diagnosis, Computer-Assisted Rats Disease Models, Animal Mice, Inbred C57BL Kidney Diseases Predictive Value of Tests Biopsy Workflow Female Reproducibility of Results Animals Male Machine Learning Species Specificity Humans Kidney Glomerulus Mice, Transgenic Software Microscopy Automation, Laboratory Image Interpretation, Computer-Assisted Phenotype Pattern Recognition, Automated
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Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.

Asian Pacific journal of cancer prevention : APJCP Sep 26, 2018
Objective: Breast Cancer is the most invasive disease and fatal disease next to lung cancer in human. Early detection of breast cancer is accomplished by X-ray mammography. Mammography is the most effective and efficient technique used for detection ...
Mammography Humans Female Image Interpretation, Computer-Assisted Image Enhancement Neural Networks, Computer Diagnostic Errors Wavelet Analysis Algorithms Breast Neoplasms Databases, Factual Diagnosis, Computer-Assisted
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Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.

IEEE journal of biomedical and health informatics Sep 24, 2018
Age estimation from radiologic data is an important topic both in clinical medicine as well as in forensic applications, where it is used to assess unknown chronological age or to discriminate minors from adults. In this paper, we propose an automati...
Image Interpretation, Computer-Assisted Adult Humans Tooth Clavicle Age Determination by Skeleton Male Neural Networks, Computer Adolescent Hand Bones Female Magnetic Resonance Imaging Young Adult
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