Unsupervised segmentation based on robust estimation and color active contour models.
about
Virtual microscopy and grid-enabled decision support for large-scale analysis of imaged pathology specimensA caGRID-ENABLED, LEARNING BASED IMAGE SEGMENTATION METHOD FOR HISTOPATHOLOGY SPECIMENSHistopathological image analysis: a reviewDecentralized data sharing of tissue microarrays for investigative research in oncologyAutomated image analysis method for detecting and quantifying macrovesicular steatosis in hematoxylin and eosin-stained histology images of human liversRegion-based progressive localization of cell nuclei in microscopic images with data adaptive modeling.ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technologyPartitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splittingA high-throughput active contour scheme for segmentation of histopathological imagery.Histological image segmentation using fast mean shift clustering method.Segmentation of White Blood Cells From Microscopic Images Using a Novel Combination of K-Means Clustering and Modified Watershed AlgorithmAutomated image analysis of skeletal muscle fiber cross-sectional area.A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matchingPathMiner: a Web-based tool for computer-assisted diagnostics in pathology.Classification of hematologic malignancies using texton signatures.Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive ReviewMicro-structural tissue analysis for automatic histopathological image annotation.Hierarchical nucleus segmentation in digital pathology images.Nucleus and cytoplasm segmentation in microscopic images using K-means clustering and region growing.Extraction of nucleolus candidate zone in white blood cells of peripheral blood smear images using curvelet transformEffective identification and localization of immature precursors in bone marrow biopsy.Evaluation of nucleus segmentation in digital pathology images through large scale image synthesisBMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion
P2860
Q28681379-A955FAA6-65A7-4F38-A6DF-25F6BECCAB11Q28750079-5D9FC25F-C11C-46C0-B661-FD823704914DQ28750188-A140BE0E-1992-49C8-99F5-DF366D357B72Q28762550-82BDB25F-6C85-4EA2-93ED-3657CE74601DQ30571749-7312DC07-F3F7-4145-82F5-2AE73850CC8AQ30637728-461F9FF0-E0AD-4C3C-BFC5-A1FA23BD1C6BQ33909732-41BF716D-CF12-401F-9FF1-93F3E26A52F6Q35190583-F98A6873-D314-4EAA-9563-6D5A18342B76Q35201359-646E582E-58C8-4380-8A5F-71BB166054BEQ35234223-E1BD9177-CA81-4F0D-A86E-081B01CB63ABQ36383984-7F142245-2E2A-4A08-BC9B-44ED35E7024EQ36531038-162C7F35-8ADE-45FA-901F-BD3CDF2BF5DCQ36923135-A4A90E93-8222-469F-8A50-F08E68D52439Q36931256-16D23F49-3A38-45D8-A7FD-BB6DF13A4629Q37409594-CC07C436-D7A8-48D1-B5CD-390FA2A3353CQ37583728-07C11A25-03FC-409B-93FB-C7555A5692CDQ38482827-3544F79B-7A05-499A-B88D-51BF81B3E2AEQ39634609-8003CD49-8907-41A2-8069-E9CD71A08758Q40333458-DD560F3C-418E-4363-9D44-FAE019280DBAQ42178135-DE1AC341-DCA9-432A-B89E-45A04E82FB4BQ53383870-C32C6017-AC46-42DA-8BDF-EE20B65DDC36Q57827249-30477B45-9224-4A61-BDC0-AEB3F90F2690Q58129884-5B88E0A1-F9FA-46D9-B32F-8F36413C25C8
P2860
Unsupervised segmentation based on robust estimation and color active contour models.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Unsupervised segmentation based on robust estimation and color active contour models.
@en
Unsupervised segmentation based on robust estimation and color active contour models.
@nl
type
label
Unsupervised segmentation based on robust estimation and color active contour models.
@en
Unsupervised segmentation based on robust estimation and color active contour models.
@nl
prefLabel
Unsupervised segmentation based on robust estimation and color active contour models.
@en
Unsupervised segmentation based on robust estimation and color active contour models.
@nl
P356
P1476
Unsupervised segmentation based on robust estimation and color active contour models.
@en
P2093
P304
P356
10.1109/TITB.2005.847515
P577
2005-09-01T00:00:00Z