Medical Imaging 2017: Digital Pathology

36 Sessions, 36 papers, 14 videos
Proceedings Volume 10140 is from: Logo
11-16 February 2017
Orlando, Florida, United States
Front Matter: Volume 10140
Proc. SPIE 10140, Front Matter: Volume 10140, 1014001(5 April 2017);doi: 10.1117/12.2270372
Emerging Technologies
Proc. SPIE 10140, Determining local and contextual features describing appearance of difficult to identify mitotic figures, 1014002(1 March 2017);doi: 10.1117/12.2254605
Proc. SPIE 10140, Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens, 1014003(1 March 2017);doi: 10.1117/12.2247806
Proc. SPIE 10140, Applications of QCL mid-IR imaging to the advancement of pathology, 1014004(1 March 2017);doi: 10.1117/12.2254523
Proc. SPIE 10140, Data-driven sampling method for building 3D anatomical models from serial histology, 1014005(1 March 2017);doi: 10.1117/12.2255800
Proc. SPIE 10140, Automatic evaluation of skin histopathological images for melanocytic features, 1014006(1 March 2017);doi: 10.1117/12.2255002
Detection and Segmentation
Proc. SPIE 10140, Automated wholeslide analysis of multiplex-brightfield IHC images for cancer cells and carcinoma-associated fibroblasts, 1014007(1 March 2017);doi: 10.1117/12.2254459
Proc. SPIE 10140, Lumen-based detection of prostate cancer via convolutional neural networks, 1014008(1 March 2017);doi: 10.1117/12.2253513
Proc. SPIE 10140, Hierarchical patch-based co-registration of differently stained histopathology slides, 1014009(1 March 2017);doi: 10.1117/12.2254266
Proc. SPIE 10140, Automated high-grade prostate cancer detection and ranking on whole slide images, 101400A(1 March 2017);doi: 10.1117/12.2253642
Proc. SPIE 10140, Automated plasmodia recognition in microscopic images for diagnosis of malaria using convolutional neural networks, 101400B(1 March 2017);doi: 10.1117/12.2249845
Proc. SPIE 10140, A model of tumor architecture and spatial interactions with tumor microenvironment in breast carcinoma, 101400C(1 March 2017);doi: 10.1117/12.2254452
Precision Medicine and Grading
Proc. SPIE 10140, Identification and characterization of neutrophil extracellular trap shapes in flow cytometry, 101400D(1 March 2017);doi: 10.1117/12.2254680
Proc. SPIE 10140, FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage, 101400E(1 March 2017);doi: 10.1117/12.2255671
Proc. SPIE 10140, Context-sensitive patch histograms for detecting rare events in histopathological data, 101400F(1 March 2017);doi: 10.1117/12.2254014
Proc. SPIE 10140, Automatic computational labeling of glomerular textural boundaries, 101400G(1 March 2017);doi: 10.1117/12.2254517
Proc. SPIE 10140, Convolutional neural networks for prostate cancer recurrence prediction, 101400H(1 March 2017);doi: 10.1117/12.2255774
Keynote and Trends
Proc. SPIE 10140, Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathology, 101400I(1 March 2017);doi: 10.1117/12.2254750
Proc. SPIE 10140, A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images, 101400J(1 March 2017);doi: 10.1117/12.2255627
Proc. SPIE 10140, Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis, 101400K(1 March 2017);doi: 10.1117/12.2254220
Poster Session
Proc. SPIE 10140, Automated epidermis segmentation in histopathological images of human skin stained with hematoxylin and eosin, 101400M(1 March 2017);doi: 10.1117/12.2249018
Proc. SPIE 10140, Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution, 101400N(1 March 2017);doi: 10.1117/12.2254036
Proc. SPIE 10140, Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score, 101400O(1 March 2017);doi: 10.1117/12.2255710
Proc. SPIE 10140, Heterogeneity characterization of immunohistochemistry stained tissue using convolutional autoencoder, 101400P(1 March 2017);doi: 10.1117/12.2256238
Proc. SPIE 10140, A computational study on convolutional feature combination strategies for grade classification in colon cancer using fluorescence microscopy data, 101400Q(1 March 2017);doi: 10.1117/12.2255687
Proc. SPIE 10140, Evaluating color performance of whole-slide imaging devices by multispectral-imaging of biological tissues, 101400R(1 March 2017);doi: 10.1117/12.2254997
Proc. SPIE 10140, Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks, 101400S(1 March 2017);doi: 10.1117/12.2253620
Proc. SPIE 10140, Integrative analysis on histopathological image for identifying cellular heterogeneity, 101400T(1 March 2017);doi: 10.1117/12.2250428
Proc. SPIE 10140, Extraction of glomeruli in whole slide imaging of kidney biopsy specimens, 101400U(1 March 2017);doi: 10.1117/12.2254306
Proc. SPIE 10140, Unsupervised segmentation of H and E breast images, 101400V(1 March 2017);doi: 10.1117/12.2254047
Proc. SPIE 10140, Optimized color decomposition of localized whole slide images and convolutional neural network for intermediate prostate cancer classification, 101400W(1 March 2017);doi: 10.1117/12.2254216
Proc. SPIE 10140, Panning artifacts in digital pathology images, 101400Y(1 March 2017);doi: 10.1117/12.2255524
Proc. SPIE 10140, Tissue classification of liver pathological tissue specimens image using spectral features, 101400Z(1 March 2017);doi: 10.1117/12.2253818
Proc. SPIE 10140, Color normalization of histology slides using graph regularized sparse NMF, 1014010(1 March 2017);doi: 10.1117/12.2254214
Proc. SPIE 10140, Frequency analysis of gaze points with CT colonography interpretation using eye gaze tracking system, 1014011(1 March 2017);doi: 10.1117/12.2250010
Proc. SPIE 10140, Content-based histopathological image retrieval for whole slide image database using binary codes, 1014013(1 March 2017);doi: 10.1117/12.2253988
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