PROCEEDINGS VOLUME 9791
SPIE MEDICAL IMAGING | 27 FEBRUARY - 3 MARCH 2016
Medical Imaging 2016: Digital Pathology
IN THIS VOLUME

0 Sessions, 44 Papers, 0 Presentations
Proceedings Volume 9791 is from: Logo
SPIE MEDICAL IMAGING
27 February - 3 March 2016
San Diego, California, United States
Front Matter: Volume 9791
Proc. SPIE 9791, Front Matter: Volume 9791, 979101 (12 September 2016); doi: 10.1117/12.2240781
Keynote and Trends
Proc. SPIE 9791, Automated robust registration of grossly misregistered whole-slide images with varying stains, 979103 (23 March 2016); doi: 10.1117/12.2216672
Proc. SPIE 9791, Model coupling for predicting a developmental patterning process, 979104 (23 March 2016); doi: 10.1117/12.2217528
Precision Medicine and Grading
Proc. SPIE 9791, Classification of breast cancer stroma as a tool for prognosis, 979105 (23 March 2016); doi: 10.1117/12.2216520
Proc. SPIE 9791, Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images, 979106 (23 March 2016); doi: 10.1117/12.2211368
Proc. SPIE 9791, Computer-assisted bladder cancer grading: α-shapes for color space decomposition, 979107 (23 March 2016); doi: 10.1117/12.2216967
Proc. SPIE 9791, Multi-instance multi-label learning for whole slide breast histopathology, 979108 (23 March 2016); doi: 10.1117/12.2216458
Proc. SPIE 9791, Intraoperative neuropathology of glioma recurrence: cell detection and classification, 979109 (23 March 2016); doi: 10.1117/12.2216448
Proc. SPIE 9791, Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis, 97910A (23 March 2016); doi: 10.1117/12.2217094
Detection and Segmentation
Proc. SPIE 9791, Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps, 97910B (23 March 2016); doi: 10.1117/12.2217687
Proc. SPIE 9791, Adaptive local thresholding for robust nucleus segmentation utilizing shape priors, 97910C (23 March 2016); doi: 10.1117/12.2216334
Proc. SPIE 9791, Non-uniform object counting method in large-format pyramid images applied to CD31 vessel counting in whole-mount digital pathology sections, 97910D (23 March 2016); doi: 10.1117/12.2216817
Proc. SPIE 9791, Segmentation of vessel structures in serial whole slide sections using region-based context features, 97910E (23 March 2016); doi: 10.1117/12.2216497
Proc. SPIE 9791, Automated renal histopathology: digital extraction and quantification of renal pathology, 97910F (23 March 2016); doi: 10.1117/12.2217329
Machine Learning
Proc. SPIE 9791, Differentiation of arterioles from venules in mouse histology images using machine learning, 97910G (23 March 2016); doi: 10.1117/12.2217178
Proc. SPIE 9791, Lymphoma diagnosis in histopathology using a multi-stage visual learning approach, 97910H (23 March 2016); doi: 10.1117/12.2217158
Proc. SPIE 9791, Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images, 97910I (23 March 2016); doi: 10.1117/12.2217053
Proc. SPIE 9791, A structure-based approach for colon gland segmentation in digital pathology, 97910J (23 March 2016); doi: 10.1117/12.2216545
Proc. SPIE 9791, Miniature objective lens for array digital pathology: design improvement based on clinical evaluation, 97910K (23 March 2016); doi: 10.1117/12.2217430
Proc. SPIE 9791, Quantitative diagnosis of tongue cancer from histological images in an animal model, 97910L (23 March 2016); doi: 10.1117/12.2217286
Emerging Technologies
Proc. SPIE 9791, Multi-scale learning based segmentation of glands in digital colonrectal pathology images, 97910M (23 March 2016); doi: 10.1117/12.2216790
Proc. SPIE 9791, 3D morphological measurement of whole slide histological vasculature reconstructions, 97910N (23 March 2016); doi: 10.1117/12.2214871
Proc. SPIE 9791, Single-pixel hyperspectral imaging for real-time cancer detection: detecting damage in ex vivo porcine tissue samples, 97910O (23 March 2016); doi: 10.1117/12.2211408
Proc. SPIE 9791, Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results, 97910P (23 March 2016); doi: 10.1117/12.2212198
Poster Session
Proc. SPIE 9791, Automatic labeling of molecular biomarkers on a cell-by-cell basis in immunohistochemistry images using convolutional neural networks, 97910R (23 March 2016); doi: 10.1117/12.2217046
Proc. SPIE 9791, Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues, 97910T (23 March 2016); doi: 10.1117/12.2218016
Proc. SPIE 9791, A machine learning approach to quantifying noise in medical images, 97910U (23 March 2016); doi: 10.1117/12.2217702
Proc. SPIE 9791, Pathological Gleason prediction through gland ring morphometry in immunofluorescent prostate cancer images, 97910V (23 March 2016); doi: 10.1117/12.2217277
Proc. SPIE 9791, Color-texture based extreme learning machines for tissue tumor classification, 97910W (23 March 2016); doi: 10.1117/12.2216573
Proc. SPIE 9791, Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology, 97910X (23 March 2016); doi: 10.1117/12.2216843
Proc. SPIE 9791, Mixture of learners for cancer stem cell detection using CD13 and H and E stained images, 97910Y (23 March 2016); doi: 10.1117/12.2216113
Proc. SPIE 9791, Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: texture-based classification of tissue morphologies, 979110 (23 March 2016); doi: 10.1117/12.2217040
Proc. SPIE 9791, Nucleus segmentation in histology images with hierarchical multilevel thresholding, 979111 (23 March 2016); doi: 10.1117/12.2216632
Proc. SPIE 9791, Quantification of tumor morphology via 3D histology: application to oral cavity cancers, 979112 (23 March 2016); doi: 10.1117/12.2217015
Proc. SPIE 9791, Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching, 979114 (23 March 2016); doi: 10.1117/12.2216507
Proc. SPIE 9791, Deep learning for tissue microarray image-based outcome prediction in patients with colorectal cancer , 979115 (23 March 2016); doi: 10.1117/12.2217072
Proc. SPIE 9791, Hierarchical nucleus segmentation in digital pathology images, 979117 (23 March 2016); doi: 10.1117/12.2217029
Proc. SPIE 9791, A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imaging, 979118 (23 March 2016); doi: 10.1117/12.2217358
Proc. SPIE 9791, The role of imaging based prostate biopsy morphology in a data fusion paradigm for transducing prognostic predictions, 979119 (23 March 2016); doi: 10.1117/12.2216435
Proc. SPIE 9791, Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification, 97911A (23 March 2016); doi: 10.1117/12.2216940
Proc. SPIE 9791, Automatic choroid cells segmentation and counting in fluorescence microscopic image, 97911B (23 March 2016); doi: 10.1117/12.2216172
Proc. SPIE 9791, Classification of human carcinoma cells using multispectral imagery, 97911C (23 March 2016); doi: 10.1117/12.2217022
Proc. SPIE 9791, High-definition Fourier transform infrared spectroscopic imaging of prostate tissue, 97911D (23 March 2016); doi: 10.1117/12.2217341
Proc. SPIE 9791, A generic nuclei detection method for histopathological breast images, 97911E (23 March 2016); doi: 10.1117/12.2209613
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