Merkzettel Warenkorb

Gutscheinbedingungen

**Gültig bis 10.06.2026 / Gültig für gebrauchte Bücher / Mindestbestellwert 20,00 € / Einzelne Artikel können ausgeschlossen sein / Online auf www.bücher.de.de / Nicht kombinierbar mit anderen Gutscheinen oder Preisaktionen / Nur einmal pro Einkauf einlösbar / Gutschein wird auf max. 500€ Bestellwert angerechnet / Keine Barauszahlung / Nicht gültig für Versandkosten und Services
  • Produktbild: Machine Learning in Medical Imaging
  • Produktbild: Machine Learning in Medical Imaging

Machine Learning in Medical Imaging Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers

Aus der Reihe Lecture Notes in Computer Science

44,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.11.2012

Abbildungen

XII, 91 illus., schwarz-weiss Illustrationen

Herausgeber

Fei Wang + weitere

Verlag

Springer Berlin

Seitenzahl

276

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

441 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-35427-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.11.2012

Abbildungen

XII, 91 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

276

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

441 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-35427-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern
Die Leseprobe wird geladen.
  • Produktbild: Machine Learning in Medical Imaging
  • Produktbild: Machine Learning in Medical Imaging

  • Transductive Prostate Segmentation for CT Image Guided Radiotherapy.- Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries.- MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra.- Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer’s Disease.- Dense Deformation Reconstruction via Sparse Coding.- Group Sparsity Constrained Automatic Brain Label Propagation.- Sparse Patch-Guided Deformation Estimation for Improved Image Registration.- Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets.- Data Driven Constraints for the SVM.- Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning.- A Novel 3D Joint MGRF Framework for Precise Lung Segmentation.- Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI.- Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination.- Human Age Estimation with Surface-Based Features from MRI Images.- Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability.- Simultaneous Registration and Segmentation by L1 Minimization.- On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants.- Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease.- A Localized MKL Method for Brain Classification with Known Intra-class Variability.- Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach.- Learning to Locate Cortical Bone in MRI.- Quality Classification of Microscopic Imagery with Weakly Supervised Learning.- Graph-Based Inter-subject Classification of Local fMRI Patterns.- Combining Multiple Image Segmentations by Maximizing Expert Agreement.- Cardiac LV and RV Segmentation Using Mutual Context Information.- Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets.- Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative.- Gradient Projection Learning for Parametric Nonrigid Registration.- Learning to Rank from Medical Imaging Data.- Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation.- A Random Forest Based Approach for One Class Classification in Medical Imaging.- Finding Deformable Shapes by Correspondence-Free Instantiation and Registration of Statistical Shape Models.- Computer Aided Skin Lesion Diagnosis with Humans in the Loop. Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries.- MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra.- Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer’s Disease.- Dense Deformation Reconstruction via Sparse Coding.- Group Sparsity Constrained Automatic Brain Label Propagation.- Sparse Patch-Guided Deformation Estimation for Improved Image Registration.- Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets.- Data Driven Constraints for the SVM.- Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning.- A Novel 3D Joint MGRF Framework for Precise Lung Segmentation.- Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI.- Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination.- Human Age Estimation with Surface-Based Features from MRI Images.- Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability.- Simultaneous Registration and Segmentation by L1 Minimization.- On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants.- Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease.- A Localized MKL Method for Brain Classification with Known Intra-class Variability.- Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach.- Learning to Locate Cortical Bone in MRI.- Quality Classification of Microscopic Imagery with Weakly Supervised Learning.- Graph-Based Inter-subject Classification of Local fMRI Patterns.- Combining Multiple Image Segmentations by Maximizing Expert Agreement.- Cardiac LV and RV Segmentation Using Mutual Context Information.- Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets.- Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative.- Gradient Projection Learning for Parametric Nonrigid Registration.- Learning to Rank from Medical Imaging Data.- Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation.- A Random Forest Based Approach for One Class Classification in Medical Imaging.- Finding Deformable Shapes by Correspondence-Free Instantiation and Registration of Statistical Shape Models.- Computer Aided Skin Lesion Diagnosis with Humans in the Loop.