Table of Contents

• A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology imagesBabak Ehteshami Bejnordi, Geert J. S. Litjens, Meyke Hermsen, Nico Karssemeijer, Jeroen A. W. M. van der Laak. [doi]
• An accurate method of extracting fat droplets in liver images for quantitative evaluationMasahiro Ishikawa, Naoki Kobayashi, Hideki Komagata, Kazuma Shinoda, Masahiro Yamaguchi, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto. [doi]
• An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial studyYuchen Qiu, Xianglan Lu, Maxine Tan, Shibo Li, Hong Liu, Bin Zheng 0001. [doi]
• A novel spectral imaging system for use during pancreatic cancer surgeryJoseph Peller, A. E. Shipley, Susan R. Trammell, Mehrdad Abolbashari, Faramarz Farahi. [doi]
• Adaptive whole slide tissue segmentation to handle inter-slide tissue variabilityKien Nguyen, Ting Chen, Jörg Bredno, Chukka Srinivas, Christophe Chefd'Hotel, Solange Romagnoli, Astrid Heller, Oliver Grimm, Fabien Gaire. [doi]
• Integration of co-localized glandular morphometry and protein biomarker expression in immunofluorescent images for prostate cancer prognosisRichard Scott, Faisal M. Khan, Jack Zeineh, Michael J. Donovan, Gerardo Fernandez. [doi]
• Nucleus detection using gradient orientation information and linear least squares regressionJin Tae Kwak, Stephen M. Hewitt, Sheng Xu 0001, Peter A. Pinto, Bradford J. Wood. [doi]
• Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry featuresAndrew Brinker, Annika Fredrikson, Xiaofan Zhang, Richard Sourvenir, Shaoting Zhang. [doi]
• Automatic glandular and tubule region segmentation in histological grading of breast cancerKien Nguyen, Michael Barnes, Chukka Srinivas, Christophe Chefd'Hotel. [doi]
• Performance assessment of automated tissue characterization for prostate H and E stained histopathologyMatthew D. DiFranco, Hayley M. Reynolds, Catherine Mitchell, Scott Williams, Prue Allan, Annette Haworth. [doi]
• Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimensGeert J. S. Litjens, Babak Ehteshami Bejnordi, Nadya Timofeeva, G. Swadi, I. Kovacs, C. A. Hulsbergen-van de Kaa, Jeroen van der Laak. [doi]
• Inter-observer variability in the classification of ovarian cancer cell type using microscopy: a pilot studyMarios A. Gavrielides, Brigitte M. Ronnett, Russell Vang, Jeffrey D. Seidman. [doi]
• Detection of high-grade atypia nuclei in breast cancer imagingHenri Noël, Ludovic Roux, Shijian Lu, Thomas Boudier. [doi]
• Toward automatic segmentation and quantification of tumor and stroma in whole-slide images of H and E stained rectal carcinomasOscar G. F. Geessink, Alexi Baidoshvili, Gerard Freling, Joost M. Klaase, Cornelis H. Slump, Ferdinand van der Heijden. [doi]
• Success of digitizing the dept. of pathology: is it just to change the technical platform and go with the slide scanners or do we need a paradigm when it comes to informatics and workflow?Mikael Wintell, E. Wehlander, B. Samulesson, Lars Lindsköld. [doi]
• Color model comparative analysis for breast cancer diagnosis using H and E stained imagesXingyu Li, Konstantinos N. Plataniotis. [doi]
• Improved segmentation of abnormal cervical nuclei using a graph-search based approachLing Zhang, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka. [doi]
• Uncertainty in the assessment of immunohistochemical staining with optical and digital microscopy: lessons from a reader studyMarios A. Gavrielides, Brandon D. Gallas, Stephen M. Hewitt. [doi]
• Multi-class stain separation using independent component analysisNicholas Trahearn, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot. [doi]
• Multi-stained whole slide image alignment in digital pathologyOscar Déniz, David Toomey, Catherine Conway, Gloria Bueno García. [doi]
• A circumscribing active contour model for delineation of nuclei and membranes of megakaryocytes in bone marrow trephine biopsy imagesTzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot. [doi]
• A novel texture descriptor for detection of glandular structures in colon histology imagesKorsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot. [doi]
• Computer assisted detection and analysis of tall cell variant papillary thyroid carcinoma in histological imagesEdward Kim, Zubair Baloch, Caroline Kim. [doi]
• High-definition Fourier transform infrared spectroscopic imaging of breast tissueL. Suzanne Leslie, Andre Kadjacsy-Balla, Rohit Bhargava. [doi]
• Front Matter: Volume 9420942001 [doi]
• Segmentation of digitized histological sections for vasculature quantification in the mouse hind limbYiwen Xu, J. Geoffrey Pickering, Zengxuan Nong, Aaron D. Ward. 942003 [doi]
• Structure preserving color deconvolution for immunohistochemistry imagesTing Chen, Chukka Srinivas. 942004 [doi]
• Anisotropic tubular filtering for automatic detection of acid-fast bacilli in Ziehl-Neelsen stained sputum smear samplesShan-e-Ahmed Raza, M. Qaisar Marjan, Muhammad Arif, Farhana Butt, Faisal Sultan, Nasir M. Rajpoot. 942005 [doi]
• Aging display's effect on interpretation of digital pathology slideAli R. N. Avanaki, Kathryn S. Espig, Sameer Sawhney, Liron Pantanowitz, Anil V. Parwani, Albert Xthona, Tom R. L. Kimpe. 942006 [doi]
• An adaptive algorithm for detection of multiple-type, positively stained nuclei in IHC images with minimal prior information: application to OLIG2 staining gliomasHatice Çinar Akakin, Hamza N. Gokozan, Jose J. Otero, Metin N. Gurcan. 942007 [doi]
• Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysisM. Khalid Khan Niazi, Daniel A. Weiser, Bruce R. Pawel, Metin N. Gurcan. 942008 [doi]
• Confocal fluorescence microscopy for detection of cervical preneoplastic lesionsFahime Sheikhzadeh, Rabab K. Ward, Anita Carraro, Zhaoyang Chen, Dirk van Niekerk, Calum MacAulay, Michele Follen, Pierre Lane, Martial Guillaud. 942009 [doi]
• Automatic choroid cells segmentation and counting based on approximate convexity and concavity of chain code in fluorescence microscopic imageWeihua Lu, Xinjian Chen, Weifang Zhu, Lei Yang, Zhaoyuan Cao, Haoyu Chen. 942010 [doi]
• Detecting cells in time varying intensity images in confocal microscopy for gene expression studies in living cellsDebasis Mitra 0003, Rostyslav Boutchko, Judhajeet Ray, Marit Nilsen-Hamilton. 942011 [doi]