PROCEEDINGS VOLUME 10577
SPIE MEDICAL IMAGING | 10-15 FEBRUARY 2018
Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment
Proceedings Volume 10577 is from: Logo
SPIE MEDICAL IMAGING
10-15 February 2018
Houston, Texas, United States
Front Matter: Volume 10577
Proc. SPIE 10577, Front Matter: Volume 10577, 1057701 (14 May 2018); https://doi.org/10.1117/12.2323943
Keynote and Image Perception I
Proc. SPIE 10577, Learning to see, 1057702 (); https://doi.org/10.1117/12.2299599
Proc. SPIE 10577, Do radiographers base the diagnostic acceptability of a radiograph on anatomical structures?, 1057703 (7 March 2018); https://doi.org/10.1117/12.2293108
Proc. SPIE 10577, A cognitive approach to determine the benefits of pairing radiologists in mammogram reading, 1057704 (7 March 2018); https://doi.org/10.1117/12.2293364
Image Perception II
Proc. SPIE 10577, Restored low-dose digital breast tomosynthesis: a perception study, 1057705 (7 March 2018); https://doi.org/10.1117/12.2293252
Proc. SPIE 10577, A database for assessment of effect of lossy compression on digital mammograms, 1057706 (7 March 2018); https://doi.org/10.1117/12.2293828
Proc. SPIE 10577, Analysis of visual search behaviour from experienced radiologists interpreting digital breast tomosynthesis (DBT) images: a pilot study, 1057707 (19 March 2018); https://doi.org/10.1117/12.2293615
Proc. SPIE 10577, A deep (learning) dive into visual search behaviour of breast radiologists, 1057708 (7 March 2018); https://doi.org/10.1117/12.2293366
Proc. SPIE 10577, Comparing salience detection algorithms in mammograms , 1057709 (9 April 2018); https://doi.org/10.1117/12.2293787
Proc. SPIE 10577, Satisfaction at last: evidence for the 'satisfaction' account for multiple-target search errors, 105770A (7 March 2018); https://doi.org/10.1117/12.2293692
Observer Performance Evaluation I
Proc. SPIE 10577, Model and human observer reproducibility for detecting microcalcifications in digital breast tomosynthesis images, 105770B (7 March 2018); https://doi.org/10.1117/12.2293311
Proc. SPIE 10577, Evaluation of search strategies for microcalcifications and masses in 3D images, 105770C (7 March 2018); https://doi.org/10.1117/12.2293871
Proc. SPIE 10577, Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial, 105770D (7 March 2018); https://doi.org/10.1117/12.2293619
Proc. SPIE 10577, Analyzing ROC curves using the effective set-size model, 105770E (7 March 2018); https://doi.org/10.1117/12.2294529
Proc. SPIE 10577, Efficiency gain of paired split-plot designs in MRMC ROC studies, 105770F (7 March 2018); https://doi.org/10.1117/12.2293741
Technology Assessment
Proc. SPIE 10577, Interaction of anatomic and quantum noise in DBT power spectrum, 105770G (7 March 2018); https://doi.org/10.1117/12.2295218
Proc. SPIE 10577, Comparison of synthetic 2D images with planar and tomosynthesis imaging of the breast using a virtual clinical trial, 105770H (7 March 2018); https://doi.org/10.1117/12.2293070
Proc. SPIE 10577, Assessment of DBT acquisition parameters for 2D and 3D search tasks, 105770I (7 March 2018); https://doi.org/10.1117/12.2294984
Proc. SPIE 10577, Quantifying predictive capability of electronic health records for the most harmful breast cancer , 105770J (7 March 2018); https://doi.org/10.1117/12.2293954
Proc. SPIE 10577, Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution, 105770K (7 March 2018); https://doi.org/10.1117/12.2293818
Proc. SPIE 10577, Towards the use of computationally inserted lesions for mammographic CAD assessment, 105770L (7 March 2018); https://doi.org/10.1117/12.2293800
Model Observers I
Proc. SPIE 10577, Correlation between model observers in uniform background and human observers in patient liver background for a low-contrast detection task in CT, 105770M (7 March 2018); https://doi.org/10.1117/12.2294955
Proc. SPIE 10577, Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs. multi-slice human and model observer study, 105770N (7 March 2018); https://doi.org/10.1117/12.2286028
Proc. SPIE 10577, A practical method to evaluate personalized injected patient dose for cardiac perfusion SPECT imaging: the polar map as a numerical observer, 105770O (7 March 2018); https://doi.org/10.1117/12.2293658
Proc. SPIE 10577, Parameter selection with the Hotelling observer in linear iterative image reconstruction for breast tomosynthesis, 105770P (7 March 2018); https://doi.org/10.1117/12.2293805
Proc. SPIE 10577, A deep learning model observer for use in alterative forced choice virtual clinical trials, 105770Q (7 March 2018); https://doi.org/10.1117/12.2293209
Model Observers II
Proc. SPIE 10577, Towards a surround-aware numerical observer, 105770R (7 March 2018); https://doi.org/10.1117/12.2294570
Proc. SPIE 10577, Evaluation of a machine learning based model observer for x-ray CT, 105770S (7 March 2018); https://doi.org/10.1117/12.2293582
Proc. SPIE 10577, Observer templates in 2D and 3D localization tasks, 105770T (7 March 2018); https://doi.org/10.1117/12.2293026
Proc. SPIE 10577, Reducing the number of reconstructions needed for estimating channelized observer performance, 105770U (7 March 2018); https://doi.org/10.1117/12.2293745
Proc. SPIE 10577, A resampling comparison of CHO's detectability index bias and uncertainty, 105770V (12 March 2018); https://doi.org/10.1117/12.2297689
Observer Performance Evaluation II and Tribute to Art Burgess
Proc. SPIE 10577, Reader performance in visual assessment of breast density using visual analogue scales: Are some readers more predictive of breast cancer?, 105770W (7 March 2018); https://doi.org/10.1117/12.2293307
Proc. SPIE 10577, Interactions of lesion detectability and size across single-slice DBT and 3D DBT, 105770X (7 March 2018); https://doi.org/10.1117/12.2293873
Proc. SPIE 10577, Lesion classification with a visual-search model observer , 105770Y (7 March 2018); https://doi.org/10.1117/12.2294946
Proc. SPIE 10577, A citizen science approach to optimising computer aided detection (CAD) in mammography, 105770Z (7 March 2018); https://doi.org/10.1117/12.2293668
Proc. SPIE 10577, Can a limited double reading/second opinion of initially recalled breast ultrasound screening examinations improve radiologists' performances?, 1057710 (7 March 2018); https://doi.org/10.1117/12.2301249
Poster Session
Proc. SPIE 10577, Study of CT image texture using deep learning techniques, 1057712 (7 March 2018); https://doi.org/10.1117/12.2292560
Proc. SPIE 10577, Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study, 1057713 (7 March 2018); https://doi.org/10.1117/12.2293807
Proc. SPIE 10577, Development of a validation instrument in myocardial perfusion imaging: results of first flow experiments, 1057714 (7 March 2018); https://doi.org/10.1117/12.2286337
Proc. SPIE 10577, Ischemic stroke enhancement in computed tomography scans using a computational approach, 1057716 (7 March 2018); https://doi.org/10.1117/12.2293555
Proc. SPIE 10577, Projection space model observers based on marginal linear discriminants, 1057717 (7 March 2018); https://doi.org/10.1117/12.2293021
Proc. SPIE 10577, Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST), 1057718 (7 March 2018); https://doi.org/10.1117/12.2293511
Proc. SPIE 10577, Learning the ideal observer for SKE detection tasks by use of convolutional neural networks (Cum Laude Poster Award), 1057719 (7 March 2018); https://doi.org/10.1117/12.2293772
Proc. SPIE 10577, Blind CT image quality assessment via deep learning strategy: initial study, 105771A (7 March 2018); https://doi.org/10.1117/12.2293240
Proc. SPIE 10577, Can a totally different approach to soft tissue computer aided detection (CADe) result in affecting radiologists' decisions?, 105771B (7 March 2018); https://doi.org/10.1117/12.2301251
Proc. SPIE 10577, Feasibility study of deep convolutional generative adversarial networks to generate mammography images, 105771C (7 March 2018); https://doi.org/10.1117/12.2293046
Proc. SPIE 10577, Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment, 105771D (7 March 2018); https://doi.org/10.1117/12.2293645
Proc. SPIE 10577, Breast elastography: Identification of benign and malignant cancer based on absolute elastic modulus measurement using vibro-elastography, 105771E (7 March 2018); https://doi.org/10.1117/12.2293664
Proc. SPIE 10577, Local-search based prediction of medical image registration error, 105771F (7 March 2018); https://doi.org/10.1117/12.2293740
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