AIMC Topic: Deep Learning

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A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.

Journal of the American College of Radiology : JACR Sep 1, 2019
Ultrasound is the most commonly used imaging modality in clinical practice because it is a nonionizing, low-cost, and portable point-of-care imaging tool that provides real-time images. Artificial intelligence (AI)-powered ultrasound is becoming more...
Quality Improvement Forecasting Ultrasonography, Doppler, Color Female Breast Neoplasms Humans Artificial Intelligence Algorithms Thyroid Neoplasms Liver Neoplasms United States Workflow Male Deep Learning Surveys and Questionnaires
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Artificial Intelligence in Imaging: The Radiologist's Role.

Journal of the American College of Radiology : JACR Sep 1, 2019
Rapid technological advancements in artificial intelligence (AI) methods have fueled explosive growth in decision tools being marketed by a rapidly growing number of companies. AI developments are being driven largely by computer scientists, informat...
Deep Learning ROC Curve Image Processing, Computer-Assisted Role Practice Patterns, Physicians' Radiology Radiologists Artificial Intelligence Algorithms Sensitivity and Specificity Humans
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Radiology-Pathology Correlation to Facilitate Peer Learning: An Overview Including Recent Artificial Intelligence Methods.

Journal of the American College of Radiology : JACR Sep 1, 2019
Correlation of pathology reports with radiology examinations has long been of interest to radiologists and helps to facilitate peer learning. Such correlation also helps meet regulatory requirements, ensures quality, and supports multidisciplinary co...
Radiology Prostatic Neoplasms Quality Improvement Male Immunohistochemistry Deep Learning Biopsy, Needle Humans Magnetic Resonance Imaging Artificial Intelligence Female
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The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging.

Journal of the American College of Radiology : JACR Sep 1, 2019
Adversarial networks were developed to complete powerful image-processing tasks on the basis of example images provided to train the networks. These networks are relatively new in the field of deep learning and have proved to have unique strengths th...
Humans Positron-Emission Tomography Artificial Intelligence Artifacts Deep Learning Radiation Exposure Forecasting Magnetic Resonance Imaging Patient Safety Diagnostic Imaging Tomography, X-Ray Computed
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Radiomics: Data Are Also Images.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Sep 1, 2019
The aim of this review is to provide readers with an update on the state of the art, pitfalls, solutions for those pitfalls, future perspectives, and challenges in the quickly evolving field of radiomics in nuclear medicine imaging and associated onc...
Image Interpretation, Computer-Assisted Nuclear Medicine Image Processing, Computer-Assisted Diagnostic Imaging Positron-Emission Tomography Humans Machine Learning Deep Learning
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Artificial Intelligence in Nuclear Medicine.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Sep 1, 2019
Despite the great media attention for artificial intelligence (AI), for many health care professionals the term and the functioning of AI remain a "black box," leading to exaggerated expectations on the one hand and unfounded fears on the other. In t...
Humans Diagnostic Imaging Artificial Intelligence Machine Learning Deep Learning Nuclear Medicine Radionuclide Imaging
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Shining Light Into the Black Box of Machine Learning.

Journal of the National Cancer Institute Sep 1, 2019
Humans Deep Learning Early Detection of Cancer Machine Learning Algorithms Neoplasms
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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

Journal of the National Cancer Institute Sep 1, 2019
BACKGROUND: Human papillomavirus vaccination and cervical screening are lacking in most lower resource settings, where approximately 80% of more than 500 000 cancer cases occur annually. Visual inspection of the cervix following acetic acid applicati...
Case-Control Studies Deep Learning Image Processing, Computer-Assisted Algorithms Uterine Cervical Neoplasms Population Surveillance Female Middle Aged Area Under Curve Aged Severity of Illness Index Humans Uterine Cervical Dysplasia Adult Mass Screening Aged, 80 and over Colposcopy Sensitivity and Specificity Cervix Uteri Young Adult Early Detection of Cancer
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[Research progress and challenges of deep learning in medical image registration].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2019
With the development of image-guided surgery and radiotherapy, the demand for medical image registration is stronger and the challenge is greater. In recent years, deep learning, especially deep convolution neural networks, has made excellent achieve...
Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging Research Deep Learning
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[Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2019
Computer-aided diagnosis based on computed tomography (CT) image can realize the detection and classification of pulmonary nodules, and improve the survival rate of early lung cancer, which has important clinical significance. In recent years, with t...
Tomography, X-Ray Computed Lung Neoplasms Humans Reproducibility of Results Solitary Pulmonary Nodule Deep Learning Radiographic Image Interpretation, Computer-Assisted
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