AIMC Topic: Diagnostic Imaging

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Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session.

Journal of digital imaging Aug 1, 2017
At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues. The common theme from attendees was t...
Congresses as Topic Diagnostic Imaging Data Collection Datasets as Topic Artificial Intelligence Medical Informatics Machine Learning Humans
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Toolkits and Libraries for Deep Learning.

Journal of digital imaging Aug 1, 2017
Deep learning is an important new area of machine learning which encompasses a wide range of neural network architectures designed to complete various tasks. In the medical imaging domain, example tasks include organ segmentation, lesion detection, a...
Neural Networks, Computer Machine Learning Humans Diagnostic Imaging Documentation Software Algorithms
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Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging.

Journal of biomedical optics Jun 1, 2017
Surgical cancer resection requires an accurate and timely diagnosis of the cancer margins in order to achieve successful patient remission. Hyperspectral imaging (HSI) has emerged as a useful, noncontact technique for acquiring spectral and optical p...
Head and Neck Neoplasms Diagnostic Imaging Humans Neural Networks, Computer
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[Medical imaging in tumor precision medicine: opportunities and challenges].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences May 25, 2017
Tumor precision medicine is an emerging approach for tumor diagnosis, treatment and prevention, which takes account of individual variability of environment, lifestyle and genetic information. Tumor precision medicine is built up on the medical imagi...
Precision Medicine Diagnostic Imaging Humans Neoplasms
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Recent developments in machine learning for medical imaging applications.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 1, 2017
Machine Learning Diagnostic Imaging
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The Diagnostic Imagination in Radiology: Part 2.

Radiology management Mar 1, 2017
Developing algorithms for the improve- ment of diagnostic care leverages tech- nologies and techniques developed across industries that are exponentially being improved, developed, and tested. Machine learning means extracting patterns not only from ...
Image Interpretation, Computer-Assisted Algorithms Lung Neoplasms Diagnosis, Differential Diagnostic Imaging Humans Machine Learning
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Similarity measurement of lung masses for medical image retrieval using kernel based semisupervised distance metric.

Medical physics Dec 1, 2016
PURPOSE: To develop a new algorithm to measure the similarity between the query lung mass and reference lung mass data set for content-based medical image retrieval (CBMIR).
Supervised Machine Learning Databases, Factual Image Processing, Computer-Assisted Lung Neoplasms Diagnostic Imaging Humans
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Wide-field spontaneous Raman spectroscopy imaging system for biological tissue interrogation.

Optics letters Oct 15, 2016
Raman spectroscopy has shown great promise as a method to discriminate between cancerous and normal tissue/cells for a range of oncology applications using microscopy and tissue interrogation instruments such as handheld probes and needles. Here we a...
Equipment Design Neural Networks, Computer Animals Spectrum Analysis, Raman Swine Diagnostic Imaging
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Big Data.

Journal of the American College of Radiology : JACR Mar 1, 2016
Radiology Information Systems Radiology Datasets as Topic Meta-Analysis as Topic Metadata Machine Learning Data Mining Diagnostic Imaging
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Editorial: Special issue on information technologies in biomedicine.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 1, 2015
Medical Informatics Pattern Recognition, Automated Diagnostic Imaging Humans Machine Learning Algorithms
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