The biology underlying molecular imaging in oncology: from genome to anatome and back again
about
Current advances in mathematical modeling of anti-cancer drug penetration into tumor tissuesJoint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancerIntratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancerAutomated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach.Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics StudyPredicting outcomes in radiation oncology--multifactorial decision support systemsMeasuring Computed Tomography Scanner Variability of Radiomics FeaturesPersonalized radiotherapy: concepts, biomarkers and trial designNear infrared optical visualization of epidermal growth factor receptors levels in COLO205 colorectal cell line, orthotopic tumor in mice and human biopsies.Opportunities and pitfalls of cancer imaging in clinical trials.Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer.Defining the biological basis of radiomic phenotypes in lung cancer.Targeting ion transport in cancerIdentifying prognostic intratumor heterogeneity using pre- and post-radiotherapy 18F-FDG PET images for pancreatic cancer patients.Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.Spatial heterogeneity and evolutionary dynamics modulate time to recurrence in continuous and adaptive cancer therapies.A cerebellar window for intravital imaging of normal and disease states in mice.Accounting for reconstruction kernel-induced variability in CT radiomic features using noise power spectra.Responsible Radiomics Research for Faster Clinical Translation.DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes.Voxel size and gray level normalization of CT radiomic features in lung cancerRadiomic Profiling of Head and Neck Cancer: F-FDG PET Texture Analysis as Predictor of Patient Survival
P2860
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P2860
The biology underlying molecular imaging in oncology: from genome to anatome and back again
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
The biology underlying molecul ...... nome to anatome and back again
@en
The biology underlying molecul ...... ome to anatome and back again.
@nl
type
label
The biology underlying molecul ...... nome to anatome and back again
@en
The biology underlying molecul ...... ome to anatome and back again.
@nl
prefLabel
The biology underlying molecul ...... nome to anatome and back again
@en
The biology underlying molecul ...... ome to anatome and back again.
@nl
P2860
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The biology underlying molecul ...... nome to anatome and back again
@en
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R A Gatenby
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P304
P356
10.1016/J.CRAD.2010.04.005
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2010-07-01T00:00:00Z