Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology
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Histopathologic variables predict oncotype dx recurrence score
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Automatic segmentation of cell nuclei in bladder and skin tissue for karyometric analysis
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Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy
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Mac: Magnetostatic active contour model
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Semi-automated phalanx bone segmentation using the expectation maximization algorithm
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Computer-derived nuclear features distinguish malignant from benign breast cytology
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Cell-graph mining for breast tissue modeling and classification
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A clinically motivated 2-fold framework for quantifying and classifying immunohistochemically stained specimens
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Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features
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Support-vector networks
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[0089]
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Cancer statistics, 2008
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Reasons for breast cancer heterogeneity
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The significance of vascular invasion and lymphocytic infiltration in invasive cervical cancer
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Lymphocyte infiltrates as a prognostic variable in female breast cancer
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High expression of lymphocyte-associated genes in node-negative her2+ breast cancers correlates with lower recurrence rates
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Computer-derived nuclear features distinguish malignant from benign breast cytology
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Automated breast tumor diagnosis and grading based on wavelet chromatin texture description
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Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer
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Automated detection of regions of interest for tissue microarray experiments: an image texture analysis
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The cell graphs of cancer
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Computer-assisted assessment of the human epidermal growth factor receptor 2 immunohistochemical assay in imaged histologic sections using a membrane isolation algorithm and quantitative analysis of positive controls
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Intratumoral heterogeneity of her-2/neu in invasive mammary carcinomas using fluorescence in-situ hybridization and tissue microarray
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Computeraided detection of breast cancer nuclei
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Unsupervised cell nucleus segmentation with active contours
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Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy
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Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
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A kernelised fuzzy-support vector machine cad system for the diagnosis of lung cancer from tissue images
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Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models
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Expectation maximization driven geodesic active contour: Application to lymphocyte segmentation on digitized breast cancer histopathology
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Manifold learning with graph-based features for identifying extent of lymphocytic infiltration from high grade, her2+ breast cancer histology
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Detection of prostate cancer from whole-mount histology images using markov random fields
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Region growing: a new approach
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Stochastic relaxation, gibbs distributions and the bayesian restoration of images
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Statistical analysis of dirty pictures
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Automated grading of prostate cancer using architectural and textural image features
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Adaptive Control Processes: A Guided Tour
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Normalized cuts and image segmentation
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Investigating the efficacy of nonlinear dimensionality reduction system and methods in classifying gene and protein expression studies
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An experimental comparison of rgb, yiq, lab, hsv, and opponent color models
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Pattern Classification
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Probability, Random Variables, and Stochastic Processes
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New algorithms based on the voronoi diagram applied in a pilot study on normal mucosa and carcinomas
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Comparing images using the hausdorff distance
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A support vector machine approach for detection of microcalcifications
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A statistical approach to texture classification from single images
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Content-based retrieval of breast cancer biopsy slides
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Classification of hematologic malignancies using texton signatures
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A boosted distance metric: Application to content based image retrieval and classification of digitized histopathology
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