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