Automated segmentation of tissue images for computerized IHC analysis.
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Pioglitazone treatment reduces adipose tissue inflammation through reduction of mast cell and macrophage number and by improving vascularity.Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowdDigital separation of diaminobenzidine-stained tissues via an automatic color-filtering for immunohistochemical quantificationOpen biomedical pluralism: formalising knowledge about breast cancer phenotypes.Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology ImagesAutomated Ki-67 Quantification of Immunohistochemical Staining Image of Human Nasopharyngeal Carcinoma Xenografts.Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images.Micro-structural tissue analysis for automatic histopathological image annotation.Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable FeaturesValidation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3'-Diaminobenzidine&Haematoxylin.Automatic extraction of cell nuclei from H&E-stained histopathological images.An entropy-based automated cell nuclei segmentation and quantification: application in analysis of wound healing process.Correlation Filters for Detection of Cellular Nuclei in Histopathology Images.Automated nuclei segmentation of malignant using level sets.Automatic segmentation and supervised learning-based selection of nuclei in cancer tissue images.Comparison of the manual, semiautomatic, and automatic selection and leveling of hot spots in whole slide images for Ki-67 quantification in meningiomas.Expression of P53, HER2 and Ki67 proteins in rats subjected to bladder augmentation with stomach, colon and ileum.A multistep image analysis method to increase automated identification efficiency in immunohistochemical nuclear markers with a high background level.Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images.Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology.BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion
P2860
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P2860
Automated segmentation of tissue images for computerized IHC analysis.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Automated segmentation of tissue images for computerized IHC analysis.
@en
Automated segmentation of tissue images for computerized IHC analysis.
@nl
type
label
Automated segmentation of tissue images for computerized IHC analysis.
@en
Automated segmentation of tissue images for computerized IHC analysis.
@nl
prefLabel
Automated segmentation of tissue images for computerized IHC analysis.
@en
Automated segmentation of tissue images for computerized IHC analysis.
@nl
P2093
P1476
Automated segmentation of tissue images for computerized IHC analysis
@en
P2093
A Acquaviva
S Di Cataldo
P356
10.1016/J.CMPB.2010.02.002
P577
2010-04-01T00:00:00Z