Fully automated microvessel counting and hot spot selection by image processing of whole tumour sections in invasive breast cancer.
about
SlideToolkit: an assistive toolset for the histological quantification of whole slide imagesConfocal DNA cytometry: a contour-based segmentation algorithm for automated three-dimensional image segmentation.Targeting neuropilin-1 to inhibit VEGF signaling in cancer: Comparison of therapeutic approaches.Automatic identification of angiogenesis in double stained images of liver tissue.Cathepsin G-mediated enhanced TGF-beta signaling promotes angiogenesis via upregulation of VEGF and MCP-1.Predicting the future: a critical appraisal of cancer prognosis studies.Fear or favour? Statistics in pathology.Co-expression of α9β1 integrin and VEGF-D confers lymphatic metastatic ability to a human breast cancer cell line MDA-MB-468LN.Angiogenesis, thrombospondin, and ductal carcinoma in situ of the breast.Targeting COX-2 and EP4 to control tumor growth, angiogenesis, lymphangiogenesis and metastasis to the lungs and lymph nodes in a breast cancer model.Computerized image analysis as a tool to quantify infiltrating leukocytes: a comparison between high- and low-magnification images.Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images.Beyond immune density: critical role of spatial heterogeneity in estrogen receptor-negative breast cancer.Efficient measurement of total tumor microvascularity ex vivo using a mathematical model to optimize volume subsampling.Microvessel Density in Patients with Cutaneous Melanoma: An Up-to-Date Systematic Review and Meta-Analysis.Digital microscopy assessment of angiogenesis in different breast cancer compartments.Assessment of the metabolic flow phenotype of primary colorectal cancer: correlations with microvessel density are influenced by the histological scoring method.
P2860
Q28652657-42234F14-A4FB-41A0-89FA-63289ADB42A4Q31107968-9C2F9E3D-D3FA-4A47-AC88-C0A3F1A3C608Q33267903-7360C377-C92B-4E62-8C94-E886056586FAQ33509200-3278FB57-8C01-4FCF-8326-85A428B89945Q33625023-7C29883A-85E6-46DA-A6F9-FDB8563E9EE1Q33785765-B3B16B76-5FC6-4847-8B0F-80A4B7F90EDBQ33893018-457ADF44-D597-4ADA-BA7A-A8411FE075FBQ34251088-19CADFA0-64EA-434D-8DE8-C262DA9628F9Q34766281-7DDEA29C-1E82-4A9E-89BD-21825CC30462Q39340968-513DBF0C-59E8-4E42-B8FE-2AC7516887C0Q39576933-81CB8661-4E30-429C-8822-F781F5E85D2BQ40287322-12CDC853-BD1D-4E68-AEA1-C0BF3227703DQ41346864-64347048-83A6-4BEF-848C-6C27A8CD8487Q47128123-76DFD158-B141-4452-9E57-87EA9D1E6F80Q49924572-AA839D88-E4E8-45A9-A740-BC07F6C18F6EQ51159657-BE18FA47-706C-453C-8BDD-19242131A691Q51376185-84784925-EFDC-440C-A25E-932D154D9BAD
P2860
Fully automated microvessel counting and hot spot selection by image processing of whole tumour sections in invasive breast cancer.
description
1999 nî lūn-bûn
@nan
1999 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի մարտին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Fully automated microvessel co ...... ons in invasive breast cancer.
@ast
Fully automated microvessel co ...... ons in invasive breast cancer.
@en
type
label
Fully automated microvessel co ...... ons in invasive breast cancer.
@ast
Fully automated microvessel co ...... ons in invasive breast cancer.
@en
prefLabel
Fully automated microvessel co ...... ons in invasive breast cancer.
@ast
Fully automated microvessel co ...... ons in invasive breast cancer.
@en
P2093
P2860
P356
P1476
Fully automated microvessel co ...... ions in invasive breast cancer
@en
P2093
P2860
P304
P356
10.1136/JCP.52.3.184
P407
P577
1999-03-01T00:00:00Z