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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III

Hutchison, David ;Kanade, Takeo ;Kittler, Josef;; Hutchison, David (Editor) ; Kanade, Takeo (Editor) ; Kittler, Josef (Editor) ; Kleinberg, Jon M (Editor) ; Mattern, Friedemann (Editor) ; Mitchell, John C (Editor) ; Naor, Moni (Editor) ; Nierstrasz, Oscar (Editor) ; Pandu Rangan, C (Editor) ; Steffen, Bernhard (Editor) ; Sudan, Madhu (Editor) ; Terzopoulos, Demetri (Editor) ; Tygar, Doug (Editor) ; Vardi, Moshe Y (Editor) ; Weikum, Gerhard (Editor) ; Fichtinger, Gabor (Editor) ; Martel, Anne (Editor) ; Peters, Terry (Editor)

Lecture Notes in Computer Science

ISBN: 9783642236259 ; ISBN: 3642236251 ; E-ISBN: 9783642236266 ; E-ISBN: 364223626X ; DOI: 10.1007/978-3-642-23626-6

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  • Nhan đề:
    Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III
  • Tác giả: Hutchison, David ; Kanade, Takeo ; Kittler, Josef
  • Hutchison, David (Editor) ; Kanade, Takeo (Editor) ; Kittler, Josef (Editor) ; Kleinberg, Jon M (Editor) ; Mattern, Friedemann (Editor) ; Mitchell, John C (Editor) ; Naor, Moni (Editor) ; Nierstrasz, Oscar (Editor) ; Pandu Rangan, C (Editor) ; Steffen, Bernhard (Editor) ; Sudan, Madhu (Editor) ; Terzopoulos, Demetri (Editor) ; Tygar, Doug (Editor) ; Vardi, Moshe Y (Editor) ; Weikum, Gerhard (Editor) ; Fichtinger, Gabor (Editor) ; Martel, Anne (Editor) ; Peters, Terry (Editor)
  • Chủ đề: Computer Science ; Image Processing and Computer Vision ; Pattern Recognition ; Computer Graphics ; Artificial Intelligence (Incl. Robotics) ; Imaging / Radiology ; Health Informatics ; Medicine ; Applied Sciences ; Computer Science
  • Là 1 phần của: Lecture Notes in Computer Science
  • Mô tả: Title -- Preface -- Organization -- Table of Contents -- Computer Aided Diagnosis and Machine Learning I -- Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis -- Introduction -- Sliding Window Based Cup Detection -- Sliding Windows -- Feature Representation -- Feature Selection Based on Group Sparsity Constraint -- Non-linear Regression Model -- Detection Result Fusion with NMS -- Experiments -- Cup Detection Evaluation Criteria -- Experimental Setup -- Comparison of Three Methods in Our Framework -- Comparison with Level-Set Based Segmentation -- Detection Speed and Limitations -- Conclusion -- References -- Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images -- Introduction -- Method -- Learning from Only Positive and Unlabeled Samples -- LPU in a Clinical Environment -- Features -- Experiments and Results -- Synthetic Data -- Patient Data -- Conclusions -- References -- Regularized Tensor Factorization for Multi-Modality Medical Image Classification -- Introduction -- General Framework -- Extension to Multi-Modality -- Experiments -- Conclusion -- References -- Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography -- Introduction -- Related Work -- Methods -- Centerline Verification -- Lumen Estimation -- Stenosis Detection and Classification -- Experimental Results -- Conclusion -- References -- Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data -- Introduction -- Previous Related Work -- Boosted Distance Metric Learning -- Bootstrap Aggregating (Bagging) -- Classification by Aggregated Distance Metric Learning (ADM) -- Theoretical Intuition -- Constructing Training Image Sub-sets -- ADM for Image Classification -- Proof of Superiority of Classification by ADM over BDM -- Experimental Results and Discussion -- Experiments Using Clinical Images -- Experiments Using Non-clinical Images -- Discussion -- Concluding Remarks -- References -- Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries -- Introduction -- A Dictionary Approach to Classification -- Sparse Dictionary Learning -- Classification Using Learned Dictionaries -- Experiments -- Conclusion and Future Work -- References -- A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images -- Introduction -- The Annotated Database -- Stage I - Discriminative Anatomy Localization -- Stage II - Generative Contrast/No-Contrast Classification -- Experiments, Results and Comparisons -- Conclusion -- References -- Classification of Alzheimer’s Disease Using a Self-Smoothing Operator -- Introduction -- Materials -- Methods -- Self-Smoothing Operator -- Similarity/Divergence Measures -- Feature Selection -- Experiments and Results -- Experimental Setup -- Results -- Discussion and Future Work -- References -- An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method .
  • Nơi xuất bản: Berlin, Heidelberg: Springer Berlin Heidelberg
  • Năm xuất bản: 2011
  • Ngôn ngữ: English
  • Số nhận dạng: ISBN: 9783642236259 ; ISBN: 3642236251 ; E-ISBN: 9783642236266 ; E-ISBN: 364223626X ; DOI: 10.1007/978-3-642-23626-6

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