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Medical Imaging 2016: Digital Pathology
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Volume Details

Volume Number: 9791
Date Published: 19 September 2016

Table of Contents
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Front Matter: Volume 9791
Author(s): Proceedings of SPIE
Automated robust registration of grossly misregistered whole-slide images with varying stains
Author(s): G. Litjens; K. Safferling; N. Grabe
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Model coupling for predicting a developmental patterning process
Author(s): Nimit Dhulekar; Basak Oztan; Bülent Yener
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Classification of breast cancer stroma as a tool for prognosis
Author(s): Sara Reis; Patrycja Gazinska; John H. Hipwell; Thomy Mertzanidou; Kalnisha Naidoo; Sarah Pinder; David J. Hawkes
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Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images
Author(s): David Romo-Bucheli; Andrew Janowczyk; Eduardo Romero; Hannah Gilmore; Anant Madabhushi
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Computer-assisted bladder cancer grading: α-shapes for color space decomposition
Author(s): M. Khalid Khan Niazi; Anil V. Parwani M.D.; Metin N. Gurcan
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Multi-instance multi-label learning for whole slide breast histopathology
Author(s): Caner Mercan; Ezgi Mercan; Selim Aksoy; Linda G. Shapiro; Donald L. Weaver; Joann G. Elmore
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Intraoperative neuropathology of glioma recurrence: cell detection and classification
Author(s): Fazly Salleh Abas; Hamza Numan Gokozan; Behiye Goksel; Jose J. Otero; Metin N. Gurcan
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Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis
Author(s): Brad M. Keller; Aimilia Gastounioti; Rebecca C. Batiste; Despina Kontos; Michael D. Feldman
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Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps
Author(s): M. Khalid Khan Niazi; Douglas J. Hartman; Liron Pantanowitz; Metin N. Gurcan
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Adaptive local thresholding for robust nucleus segmentation utilizing shape priors
Author(s): Xiuzhong Wang; Chukka Srinivas
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Non-uniform object counting method in large-format pyramid images applied to CD31 vessel counting in whole-mount digital pathology sections
Author(s): Mayan Murray; Melissa L. Hill; Kela Liu; James G. Mainprize; Martin J. Yaffe
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Segmentation of vessel structures in serial whole slide sections using region-based context features
Author(s): Michael Schwier; Horst Karl Hahn; Uta Dahmen; Olaf Dirsch
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Automated renal histopathology: digital extraction and quantification of renal pathology
Author(s): Pinaki Sarder; Brandon Ginley; John E. Tomaszewski
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Differentiation of arterioles from venules in mouse histology images using machine learning
Author(s): J. Sachi Elkerton; Yiwen Xu; J. Geoffrey Pickering; Aaron D. Ward
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Lymphoma diagnosis in histopathology using a multi-stage visual learning approach
Author(s): Noel Codella; Mehdi Moradi; Matt Matasar; Tanveer Sveda-Mahmood; John R. Smith
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Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images
Author(s): Patrick Leo; George Lee; Anant Madabhushi
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A structure-based approach for colon gland segmentation in digital pathology
Author(s): Bassem Ben Cheikh ; Philippe Bertheau; Daniel Racoceanu
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Miniature objective lens for array digital pathology: design improvement based on clinical evaluation
Author(s): Brian McCall; Mark Pierce; Edward A. Graviss; Rebecca R. Richards-Kortum; Tomasz S. Tkaczyk
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Quantitative diagnosis of tongue cancer from histological images in an animal model
Author(s): Guolan Lu; Xulei Qin; Dongsheng Wang; Susan Muller; Hongzheng Zhang; Amy Chen; Zhuo Georgia Chen; Baowei Fei
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Multi-scale learning based segmentation of glands in digital colonrectal pathology images
Author(s): Yi Gao; William Liu; Shipra Arjun; Liangjia Zhu; Vadim Ratner; Tahsin Kurc; Joel Saltz M.D.; Allen Tannenbaum
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3D morphological measurement of whole slide histological vasculature reconstructions
Author(s): Yiwen Xu; J. Geoffrey Pickering; Zengxuan Nong; Aaron D. Ward
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Single-pixel hyperspectral imaging for real-time cancer detection: detecting damage in ex vivo porcine tissue samples
Author(s): Joseph Peller; Faramarz Farahi; Susan R. Trammell
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Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results
Author(s): Ivica Kopriva; Marijana Popović Hadžija; Mirko Hadžija; Gorana Aralica
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Automatic labeling of molecular biomarkers on a cell-by-cell basis in immunohistochemistry images using convolutional neural networks
Author(s): Fahime Sheikhzadeh; Anita Carraro; Jagoda Korbelik; Calum MacAulay; Martial Guillaud; Rabab K. Ward
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Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues
Author(s): Erwan Zerhouni; Bogdan Prisacari; Qing Zhong; Peter Wild; Maria Gabrani
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A machine learning approach to quantifying noise in medical images
Author(s): Aritra Chowdhury; Christopher J. Sevinsky; Bülent Yener; Kareem S. Aggour; Steven M. Gustafson
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Pathological Gleason prediction through gland ring morphometry in immunofluorescent prostate cancer images
Author(s): Richard Scott; Faisal M. Khan; Jack Zeineh; Michael Donovan; Gerardo Fernandez
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Color-texture based extreme learning machines for tissue tumor classification
Author(s): X. Yang; S. Y. Yeo; S. T. Wong; G. Lee; Y. Su; J. M. Hong; A. Choo; S. Chen
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Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology
Author(s): Harshita Sharma; Norman Zerbe; Daniel Heim; Stephan Wienert; Sebastian Lohmann; Olaf Hellwich; Peter Hufnagl
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Mixture of learners for cancer stem cell detection using CD13 and H and E stained images
Author(s): Oğuzhan Oğuz; Cem Emre Akbaş; Maen Mallah; Kasım Taşdemir; Ece Akhan Güzelcan; Christian Muenzenmayer; Thomas Wittenberg; Ayşegül Üner; A. Enis Cetin; Rengül Çetin Atalay
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Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: texture-based classification of tissue morphologies
Author(s): Riku Turkki; Nina Linder; Panu E. Kovanen; Teijo Pellinen; Johan Lundin
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Nucleus segmentation in histology images with hierarchical multilevel thresholding
Author(s): Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton
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Quantification of tumor morphology via 3D histology: application to oral cavity cancers
Author(s): Scott Doyle; Margaret Brandwein-Gensler; John Tomaszewski
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Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching
Author(s): Mohammad Peikari; Anne L. Martel
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Deep learning for tissue microarray image-based outcome prediction in patients with colorectal cancer
Author(s): Dmitrii Bychkov; Riku Turkki; Caj Haglund; Nina Linder M.D.; Johan Lundin M.D.
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Hierarchical nucleus segmentation in digital pathology images
Author(s): Yi Gao; Vadim Ratner; Liangjia Zhu; Tammy Diprima; Tahsin Kurc; Allen Tannenbaum; Joel Saltz
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A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imaging
Author(s): Shachi Mittal; Tomasz P. Wrobel; L. Suzanne Leslie; Andre Kadjacsy-Balla; Rohit Bhargava
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The role of imaging based prostate biopsy morphology in a data fusion paradigm for transducing prognostic predictions
Author(s): Faisal M. Khan; Casimir A. Kulikowski
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Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification
Author(s): Yifu Ding; Thomas Tavolara; Keith Cheng
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Automatic choroid cells segmentation and counting in fluorescence microscopic image
Author(s): Jianjun Fei; Weifang Zhu; Fei Shi; Dehui Xiang; Xiao Lin; Lei Yang; Xinjian Chen
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Classification of human carcinoma cells using multispectral imagery
Author(s): Umut Çinar; Yasemin Y. Çetin; Rengul Çetin-Atalay; Enis Çetin
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High-definition Fourier transform infrared spectroscopic imaging of prostate tissue
Author(s): Tomasz P. Wrobel; Jin Tae Kwak; Andre Kadjacsy-Balla; Rohit Bhargava
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A generic nuclei detection method for histopathological breast images
Author(s): Henning Kost; André Homeyer; Peter Bult; Maschenka C. A. Balkenhol; Jeroen A. W. M. van der Laak; Horst K. Hahn
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