Table of Contents

• Segmentation of vessel structures in serial whole slide sections using region-based context featuresMichael Schwier, Horst Karl Hahn, Uta Dahmen, Olaf Dirsch. [doi]
• Non-uniform object counting method in large-format pyramid images applied to CD31 vessel counting in whole-mount digital pathology sectionsMayan Murray, Melissa L. Hill, Kela Liu, James G. Mainprize, Martin J. Yaffe. [doi]
• Automated renal histopathology: digital extraction and quantification of renal pathologyPinaki Sarder, Brandon Ginley, John E. Tomaszewski. [doi]
• Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide imagesPatrick Leo, George Lee, Anant Madabhushi. [doi]
• Mixture of learners for cancer stem cell detection using CD13 and H and E stained imagesOguzhan Oguz, Cem Emre Akbas, Maen Mallah, Kasim Tasdemir, Ece Akhan Güzelcan, Christian Münzenmayer, Thomas Wittenberg, Aysegül Üner, A. Enis Çetin, Rengül Çetin-Atalay. [doi]
• Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further resultsIvica Kopriva, Marijana Popovic Hadzija, Mirko Hadzija, Gorana Aralica. [doi]
• A machine learning approach to quantifying noise in medical imagesAritra Chowdhury, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, Steven M. Gustafson. [doi]
• Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classificationYifu Ding, Thomas E. Tavolara, Keith Cheng. [doi]
• Adaptive local thresholding for robust nucleus segmentation utilizing shape priorsXiuzhong Wang, Chukka Srinivas. [doi]
• Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathologyHarshita Sharma, Norman Zerbe, Daniel Heim, Stephan Wienert, Sebastian Lohmann, Olaf Hellwich, Peter Hufnagl. [doi]
• Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape mapsM. Khalid Khan Niazi, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan. [doi]
• Color-texture based extreme learning machines for tissue tumor classificationX. Yang, S. Y. Yeo, S. T. Wong, G. Lee, Y. Su, J. M. Hong, A. Choo, S. Chen. [doi]
• Quantitative diagnosis of tongue cancer from histological images in an animal modelGuolan Lu, Xulei Qin, Dongsheng Wang, Susan Muller, Hongzheng Zhang, Amy Y. Chen, Zhuo Georgia Chen, Baowei Fei. [doi]
• Lymphoma diagnosis in histopathology using a multi-stage visual learning approachNoel C. F. Codella, Mehdi Moradi, Matt Matasar, Tanveer Sveda-Mahmood, John R. Smith. [doi]
• Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissuesErwan Zerhouni, Bogdan Prisacari, Qing Zhong 0002, Peter Wild, Maria Gabrani. [doi]
• Miniature objective lens for array digital pathology: design improvement based on clinical evaluationBrian McCall, Mark Pierce, Edward A. Graviss, Rebecca R. Richards-Kortum, Tomasz S. Tkaczyk. [doi]
• A structure-based approach for colon gland segmentation in digital pathologyBassem Ben Cheikh, Philippe Bertheau, Daniel Racoceanu. [doi]
• Automatic labeling of molecular biomarkers on a cell-by-cell basis in immunohistochemistry images using convolutional neural networksFahime Sheikhzadeh, Anita Carraro, Jagoda Korbelik, Calum MacAulay, Martial Guillaud, Rabab K. Ward. [doi]
• 3D morphological measurement of whole slide histological vasculature reconstructionsYiwen Xu, J. Geoffrey Pickering, Zengxuan Nong, Aaron D. Ward. [doi]
• Classification of human carcinoma cells using multispectral imageryUmut Çinar, Yasemin Yardimci Çetin, Rengül Çetin-Atalay, A. Enis Çetin. [doi]
• Pathological Gleason prediction through gland ring morphometry in immunofluorescent prostate cancer imagesRichard Scott, Faisal M. Khan, Jack Zeineh, Michael J. Donovan, Gerardo Fernandez. [doi]
• Multi-scale learning based segmentation of glands in digital colonrectal pathology imagesYi Gao, William Liu, Shipra Arjun, Liangjia Zhu, Vadim Ratner, Tahsin M. Kurç, Joel H. Saltz, Allen Tannenbaum. [doi]
• Single-pixel hyperspectral imaging for real-time cancer detection: detecting damage in ex vivo porcine tissue samplesJoseph Peller, Faramarz Farahi, Susan R. Trammell. [doi]
• Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysisBrad M. Keller, Aimilia Gastounioti, Rebecca C. Batiste, Despina Kontos, Michael D. Feldman. [doi]
• Automatic choroid cells segmentation and counting in fluorescence microscopic imageJianjun Fei, Weifang Zhu, Fei Shi, Dehui Xiang, Xiao Lin, Lei Yang, Xinjian Chen. [doi]
• A generic nuclei detection method for histopathological breast imagesHenning Kost, André Homeyer, Peter Bult, Maschenka C. A. Balkenhol, Jeroen A. W. M. van der Laak, Horst K. Hahn. [doi]
• High-definition Fourier transform infrared spectroscopic imaging of prostate tissueTomasz P. Wrobel, Jin Tae Kwak, Andre Kadjacsy-Balla, Rohit Bhargava. [doi]
• Differentiation of arterioles from venules in mouse histology images using machine learningJ. Sachi Elkerton, Yiwen Xu, J. Geoffrey Pickering, Aaron D. Ward. [doi]
• Front Matter: Volume 9791979101 [doi]
• Automated robust registration of grossly misregistered whole-slide images with varying stainsGeert J. S. Litjens, Kai Safferling, Niels Grabe. 979103 [doi]
• Model coupling for predicting a developmental patterning processNimit Dhulekar, Basak Oztan, Bülent Yener. 979104 [doi]
• Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide imagesDavid Romo-Bucheli, Andrew Janowczyk, Eduardo Romero, Hannah Gilmore, Anant Madabhushi. 979106 [doi]
• Computer-assisted bladder cancer grading: α-shapes for color space decompositionM. Khalid Khan Niazi, Anil V. Parwani, Metin N. Gurcan. 979107 [doi]
• Multi-instance multi-label learning for whole slide breast histopathologyCaner Mercan, Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore. 979108 [doi]
• Intraoperative neuropathology of glioma recurrence: cell detection and classificationFazly Salleh Abas, Hamza Numan Gokozan, Behiye Goksel, Jose J. Otero, Metin N. Gurcan. 979109 [doi]
• Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: texture-based classification of tissue morphologiesRiku Turkki, Nina Linder, Panu E. Kovanen, Teijo Pellinen, Johan Lundin. 979110 [doi]
• Nucleus segmentation in histology images with hierarchical multilevel thresholdingHady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton. 979111 [doi]
• Quantification of tumor morphology via 3D histology: application to oral cavity cancersScott Doyle, Margaret Brandwein-Gensler, John Tomaszewski. 979112 [doi]
• Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretchingMohammad Peikari, Anne L. Martel. 979114 [doi]
• Deep learning for tissue microarray image-based outcome prediction in patients with colorectal cancerDmitrii Bychkov, Riku Turkki, Caj Haglund, Nina Linder, Johan Lundin. 979115 [doi]
• Hierarchical nucleus segmentation in digital pathology imagesYi Gao, Vadim Ratner, Liangjia Zhu, Tammy Diprima, Tahsin M. Kurç, Allen Tannenbaum, Joel H. Saltz. 979117 [doi]
• A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imagingShachi Mittal, Tomasz P. Wrobel, L. Suzanne Leslie, Andre Kadjacsy-Balla, Rohit Bhargava. 979118 [doi]
• The role of imaging based prostate biopsy morphology in a data fusion paradigm for transducing prognostic predictionsFaisal M. Khan, Casimir A. Kulikowski. 979119 [doi]