AIMC Topic: Diagnostic Imaging

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Nature biomedical engineering Nov 1, 2019
Humans Machine Learning Algorithms User-Computer Interface Computational Biology Diagnostic Imaging Databases, Factual Neoplasms
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[French ccAFU guidelines – Update 2018–2020: Bladder cancer].

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie Sep 20, 2019
OBJECTIVE: To propose updated French guidelines for non-muscle invasive (NMIBC) and muscle-invasive (MIBC) bladder cancers.
Administration, Intravesical Urinary Bladder Neoplasms Antineoplastic Agents Carcinoma, Transitional Cell Diagnostic Imaging Combined Modality Therapy Immunotherapy Medical Oncology France Survival Analysis History, 21st Century Humans Watchful Waiting Cystectomy Disease Progression Cystoscopy
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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...
Positron-Emission Tomography Artifacts Magnetic Resonance Imaging Diagnostic Imaging Radiation Exposure Artificial Intelligence Forecasting Tomography, X-Ray Computed Deep Learning Patient Safety Humans
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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...
Machine Learning Deep Learning Image Processing, Computer-Assisted Humans Image Interpretation, Computer-Assisted Nuclear Medicine Diagnostic Imaging Positron-Emission Tomography
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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...
Radionuclide Imaging Nuclear Medicine Humans Artificial Intelligence Deep Learning Diagnostic Imaging Machine Learning
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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 Research Diagnostic Imaging Deep Learning Image Processing, Computer-Assisted
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Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.

Journal of digital imaging Aug 1, 2019
Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to separate homogeneous areas as the first and critical component of diagnosis and treatment pipeline. In this article...
Image Processing, Computer-Assisted Diagnostic Imaging Humans Deep Learning
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RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.

Journal of digital imaging Aug 1, 2019
Deep-learning algorithms typically fall within the domain of supervised artificial intelligence and are designed to "learn" from annotated data. Deep-learning models require large, diverse training datasets for optimal model convergence. The effort t...
Radiology Information Systems Diagnostic Imaging Deep Learning Datasets as Topic Image Processing, Computer-Assisted Humans
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[Research progress in medical imaging based on deep learning of neural network].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Jul 9, 2019
The development of computer hardware allows rapid accumulation of medical imaging data. Deep learning has shown great potential in medical imaging data analysis and establish a new area of machine learning. The commonly used deep learning models were...
Research Deep Learning Diagnostic Imaging Neural Networks, Computer Machine Learning
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Weight Rotation as a Regularization Strategy in Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Convolutional Neural Networks (CNN) have become the gold standard in many visual recognition tasks including medical applications. Due to their high variance, however, these models are prone to over-fit the data they are trained on. To mitigate this ...
Diagnostic Imaging Rotation Humans Neural Networks, Computer
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