Front Matter: Volume 10579
Proc. SPIE 10579, Front Matter: Volume 10579, 1057901 (17 May 2018); doi: 10.1117/12.2323917
Keynote and Imaging Informatics
Proc. SPIE 10579, Will computers replace radiologists for primary reads in 20 years: a debate (Conference Presentation), 1057902 (12 April 2018); doi: 10.1117/12.2300386
Proc. SPIE 10579, PACS-based multimedia imaging informatics: third edition (Conference Presentation), 1057903 (14 March 2018); doi: 10.1117/12.2295769
Imaging Informatics for Precision Medicine
Proc. SPIE 10579, Differentiation among prostate cancer patients with Gleason score of 7 using histopathology whole-slide image and genomic data, 1057904 (6 March 2018); doi: 10.1117/12.2293193
Proc. SPIE 10579, A hybrid correlation analysis with application to imaging genetics, 1057905 (6 March 2018); doi: 10.1117/12.2293556
Proc. SPIE 10579, Intratumor heterogeneity of DCE-MRI reveals Ki-67 proliferation status in breast cancer , 1057906 (6 March 2018); doi: 10.1117/12.2293042
Proc. SPIE 10579, Analysis of DCE-MRI features in tumor and the surrounding stroma for prediction of Ki-67 proliferation status in breast cancer, 1057907 (6 March 2018); doi: 10.1117/12.2293047
Proc. SPIE 10579, Fabrication of custom PCL scaffold for nasal septal perforation repair, 1057908 (6 March 2018); doi: 10.1117/12.2293820
Big Data and Cloud Technology
Proc. SPIE 10579, Cloud-based image sharing network for collaborative imaging diagnosis and consultation, 1057909 (6 March 2018); doi: 10.1117/12.2293285
Proc. SPIE 10579, A data colocation grid framework for big data medical image processing: backend design, 105790A (6 March 2018); doi: 10.1117/12.2293694
Proc. SPIE 10579, Retinal fundus images for glaucoma analysis: the RIGA dataset, 105790B (6 March 2018); doi: 10.1117/12.2293584
Proc. SPIE 10579, Bi-threshold frequent subgraph mining for Alzheimer disease risk assessment, 105790C (6 March 2018); doi: 10.1117/12.2293773
Proc. SPIE 10579, Using deep learning for detecting gender in adult chest radiographs, 105790D (6 March 2018); doi: 10.1117/12.2293027
Proc. SPIE 10579, Development of a national electronic interval cancer review for breast screening , 105790E (6 March 2018); doi: 10.1117/12.2293485
3D Visualization and 3D Printing
Proc. SPIE 10579, On the accuracy of low-cost motion capture systems for range of motion measurements, 105790G (1 May 2018); doi: 10.1117/12.2293670
Proc. SPIE 10579, Rapid 3D bioprinting from medical images: an application to bone scaffolding, 105790H (6 March 2018); doi: 10.1117/12.2293606
Proc. SPIE 10579, Two-pass real-time direct isosurface rendering algorithm optimization for HTC Vive and low performance devices, 105790I (6 March 2018); doi: 10.1117/12.2292183
Proc. SPIE 10579, Towards clinical translation of augmented orthopedic surgery: from pre-op CT to intra-op x-ray via RGBD sensing, 105790J (6 March 2018); doi: 10.1117/12.2293675
Proc. SPIE 10579, Use of patient specific 3D printed (3DP) neurovascular phantoms for mechanical assessment of devices used in image guided minimally invasive procedures, 105790K (6 March 2018); doi: 10.1117/12.2293370
Imaging Informatics for Diagnostics and Therapeutic Applications
Proc. SPIE 10579, Crowd-assisted polyp annotation of virtual colonoscopy videos, 105790M (6 March 2018); doi: 10.1117/12.2292899
Proc. SPIE 10579, Tracking the development of brain connectivity in adolescence through a fast Bayesian integrative method , 105790O (6 March 2018); doi: 10.1117/12.2292679
Proc. SPIE 10579, Quantitative diffusion weighted imaging parameters in tumor and peritumoral stroma for prediction of molecular subtypes in breast cancer, 105790P (6 March 2018); doi: 10.1117/12.2293049
Proc. SPIE 10579, Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning, 105790Q (6 March 2018); doi: 10.1117/12.2295942
Machine Learning and Artificial Intelligence
Proc. SPIE 10579, Association between background parenchymal enhancement of breast MRI and BIRADS rating change in the subsequent screening, 105790R (6 March 2018); doi: 10.1117/12.2288001
Proc. SPIE 10579, Bayesian network interface for assisting radiology interpretation and education, 105790S (6 March 2018); doi: 10.1117/12.2293691
Proc. SPIE 10579, Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk, 105790T (6 March 2018); doi: 10.1117/12.2291524
Proc. SPIE 10579, Localizing tuberculosis in chest radiographs with deep learning, 105790U (6 March 2018); doi: 10.1117/12.2293022
Proc. SPIE 10579, A hybrid deep learning approach to predict malignancy of breast lesions using mammograms, 105790V (6 March 2018); doi: 10.1117/12.2286555
Proc. SPIE 10579, Mining hidden data to predict patient prognosis: texture feature extraction and machine learning in mammography, 105790W (6 March 2018); doi: 10.1117/12.2293523
Innovations in Imaging Informatics
Proc. SPIE 10579, Radiology metrics for safe use and regulatory compliance with CT imaging, 105790X (6 March 2018); doi: 10.1117/12.2293830
Proc. SPIE 10579, Molecular imaging and validation of non-melanoma skin cancer margins, 105790Y (6 March 2018); doi: 10.1117/12.2293847
Proc. SPIE 10579, Does transitioning from computed radiography (CR) to direct radiography (DR) with portable imaging systems affect workflow efficiency?, 105790Z (6 March 2018); doi: 10.1117/12.2293754
Proc. SPIE 10579, The development of an ophthalmologic imaging CADe structured report for retinal image radiomics research, 1057910 (6 March 2018); doi: 10.1117/12.2294918
Machine Learning and Translations Research
Proc. SPIE 10579, Evaluation of the impact of deep learning architectural components selection and dataset size on a medical imaging task, 1057911 (6 March 2018); doi: 10.1117/12.2293395
Proc. SPIE 10579, Apply lightweight deep learning on internet of things for low-cost and easy-to-access skin cancer detection, 1057912 (6 March 2018); doi: 10.1117/12.2293350
Proc. SPIE 10579, The application of deep learning for diabetic retinopathy prescreening in research eye-PACS, 1057913 (6 March 2018); doi: 10.1117/12.2296673
Proc. SPIE 10579, Hand hygiene monitoring based on segmentation of interacting hands with convolutional networks, 1057914 (6 March 2018); doi: 10.1117/12.2294047
Proc. SPIE 10579, Deep learning for medical image segmentation – using the IBM TrueNorth neurosynaptic system, 1057915 (6 March 2018); doi: 10.1117/12.2286419
Poster Session: Machine Learning and Artificial Intelligence
Proc. SPIE 10579, Preliminary study of benign and malignant differentiation of small pulmonary nodules in lung CT images by using deep learning convolutional neural network, 1057916 (6 March 2018); doi: 10.1117/12.2294483
Proc. SPIE 10579, Machine learning for mobile wound assessment, 1057917 (6 March 2018); doi: 10.1117/12.2293704
Proc. SPIE 10579, Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network, 1057918 (6 March 2018); doi: 10.1117/12.2293415
Proc. SPIE 10579, Automatic polyp recognition of small bowel in wireless capsule endoscopy images, 1057919 (6 March 2018); doi: 10.1117/12.2303519
Proc. SPIE 10579, Assessing the relevance of multi-planar MRI acquisitions for prostate segmentation using deep learning techniques, 105791A (6 March 2018); doi: 10.1117/12.2293514
Proc. SPIE 10579, Corpus callosum segmentation using deep neural networks with prior information from multi-atlas images, 105791B (6 March 2018); doi: 10.1117/12.2293568
Proc. SPIE 10579, TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches, 105791C (6 March 2018); doi: 10.1117/12.2315704
Poster Session: Big Data and Cloud Technology
Proc. SPIE 10579, Crowdsourcing lung nodules detection and annotation, 105791D (6 March 2018); doi: 10.1117/12.2292563
Proc. SPIE 10579, Faster, efficient and secure collection of research images: the utilization of cloud technology to expand the OMI-DB, 105791E (6 March 2018); doi: 10.1117/12.2295020
Proc. SPIE 10579, Hadoop-based implementation of processing medical diagnostic records for visual patient system, 105791F (6 March 2018); doi: 10.1117/12.2292311
Proc. SPIE 10579, Real-time teleconsultation for difficult diseases with high resolution and large volume medical images in regional collaborative healthcare, 105791G (6 March 2018); doi: 10.1117/12.2293308