| Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology
| [0029]
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| Histopathologic variables predict oncotype dx recurrence score
| [0089]
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| Automatic segmentation of cell nuclei in bladder and skin tissue for karyometric analysis
| [0089]
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| Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy
| [0089]
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| Mac: Magnetostatic active contour model
| [0089]
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| Semi-automated phalanx bone segmentation using the expectation maximization algorithm
| [0089]
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| Computer-derived nuclear features distinguish malignant from benign breast cytology
| [0089]
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| Cell-graph mining for breast tissue modeling and classification
| [0089]
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| A clinically motivated 2-fold framework for quantifying and classifying immunohistochemically stained specimens
| [0089]
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| Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features
| [0089]
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| Support-vector networks
| [0089]
[0089]
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| Cancer statistics, 2008
| [0089]
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| Reasons for breast cancer heterogeneity
| [0089]
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| The significance of vascular invasion and lymphocytic infiltration in invasive cervical cancer
| [0089]
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| Lymphocyte infiltrates as a prognostic variable in female breast cancer
| [0089]
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| High expression of lymphocyte-associated genes in node-negative her2+ breast cancers correlates with lower recurrence rates
| [0089]
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| Computer-derived nuclear features distinguish malignant from benign breast cytology
| [0089]
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| Automated breast tumor diagnosis and grading based on wavelet chromatin texture description
| [0089]
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| Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer
| [0089]
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| Automated detection of regions of interest for tissue microarray experiments: an image texture analysis
| [0089]
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| The cell graphs of cancer
| [0089]
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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
| [0089]
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| Intratumoral heterogeneity of her-2/neu in invasive mammary carcinomas using fluorescence in-situ hybridization and tissue microarray
| [0089]
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| Computeraided detection of breast cancer nuclei
| [0089]
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| Unsupervised cell nucleus segmentation with active contours
| [0089]
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| Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy
| [0089]
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| Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
| [0089]
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| A kernelised fuzzy-support vector machine cad system for the diagnosis of lung cancer from tissue images
| [0089]
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| Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models
| [0089]
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| Expectation maximization driven geodesic active contour: Application to lymphocyte segmentation on digitized breast cancer histopathology
| [0089]
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| Manifold learning with graph-based features for identifying extent of lymphocytic infiltration from high grade, her2+ breast cancer histology
| [0089]
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| Detection of prostate cancer from whole-mount histology images using markov random fields
| [0089]
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| Region growing: a new approach
| [0089]
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| Stochastic relaxation, gibbs distributions and the bayesian restoration of images
| [0089]
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| Statistical analysis of dirty pictures
| [0089]
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| Automated grading of prostate cancer using architectural and textural image features
| [0089]
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| Adaptive Control Processes: A Guided Tour
| [0089]
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| Normalized cuts and image segmentation
| [0089]
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| Investigating the efficacy of nonlinear dimensionality reduction system and methods in classifying gene and protein expression studies
| [0089]
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| An experimental comparison of rgb, yiq, lab, hsv, and opponent color models
| [0089]
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| Pattern Classification
| [0089]
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| Probability, Random Variables, and Stochastic Processes
| [0089]
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| New algorithms based on the voronoi diagram applied in a pilot study on normal mucosa and carcinomas
| [0089]
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| Comparing images using the hausdorff distance
| [0089]
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| A support vector machine approach for detection of microcalcifications
| [0089]
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| A statistical approach to texture classification from single images
| [0089]
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| Content-based retrieval of breast cancer biopsy slides
| [0089]
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| Classification of hematologic malignancies using texton signatures
| [0089]
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| A boosted distance metric: Application to content based image retrieval and classification of digitized histopathology
| [0089]
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