Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization.

Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization.

Item

http://www.wikidata.org/entity/Q37379778

Q37379778

about

Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection.Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over time Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.Volumetric Characterization of Human Patellar Cartilage Matrix on Phase Contrast X-Ray Computed Tomography.Using Large-Scale Granger Causality to Study Changes in Brain Network Properties in the Clinically Isolated Syndrome (CIS) Stage of Multiple Sclerosis.Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging.Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta.Investigating Changes in Resting-State Connectivity from Functional MRI Data in Patients with HIV Associated Neurocognitive Disorder Using MCA and Machine Learning.Identifying HIV Associated Neurocognitive Disorder Using Large-Scale Granger Causality Analysis on Resting-State Functional MRI.Characterizing healthy and osteoarthritic knee cartilage on phase contrast CT with geometric texture features.Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI.Functional Connectivity Analysis in Resting State fMRI with Echo-State Networks and Non-Metric Clustering for Network Structure Recovery.Characterizing Trabecular Bone structure for Assessing Vertebral Fracture Risk on Volumetric Quantitative Computed Tomography.Nonlinear Functional Connectivity Network Recovery in the Human Brain with Mutual Connectivity Analysis (MCA): Convergent Cross-Mapping and Non-Metric Clustering.Use of Quantitative Morphological and Functional Features for Assessment of Axillary Lymph Node in Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging.Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics

P2860

Q37287095-BE1A8A67-C650-4D0A-9A23-D6B1FA84A425 Q37305321-D369D092-0F56-430F-A2A3-A4BF402A4899 Q37435908-41DA7134-85A0-4B54-AE11-C14F78C18CD8 Q37556118-0359165D-96E1-45AA-B5C5-0684832D3EF8 Q41468838-B8BC994D-651B-4934-A7D5-B931F70385F4 Q44957669-B6FD9BF1-3F42-4726-AE3D-407561B2A79D Q45375155-8561939A-BE92-4293-977C-61C582F4F3C0 Q45943435-5AC3D2CA-70B9-4D7E-AAE4-712FD1242D88 Q45943640-4AD5E8E1-FCD4-45AF-A291-ED6E59229194 Q45943657-106A0E50-6210-4DA2-A910-694EBEBAF78C Q45959836-399E041D-2C58-403E-8D34-04994777A1A9 Q46716033-36F45441-A3F9-4B58-8EF0-4E31AD0295AC Q47107864-969C1F0B-1CD4-40F6-8638-935039102A2D Q47122435-2C8F3941-DDA7-4524-B1C7-E128E0466876 Q47142212-81E5333E-F89C-48C8-909E-C9620F0D9762 Q48352844-7FCB7B7A-700C-4763-9916-755085C41CD6 Q55555522-1A6E919D-5DA8-4C99-A806-C48B8A0C061C Q59302729-A6D4C7D2-EE03-4BA9-8CBD-F5B536599CE7 Q59302788-D478682F-0523-4F89-ADA9-D74C82982043

P2860

Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization.

Item

http://www.wikidata.org/entity/Q37379778

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on January 2008

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs