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{ "item_title" : "Computational Methods and Clinical Applications for Spine Imaging", "item_author" : [" Guoyan Zheng", "Daniel Belavy", "Yunliang Cai "], "item_description" : "Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU.- Predicting Scoliosis in DXA Scans Using Intermediate Representations.- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery.- Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mix-up.- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models.- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks.- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI.- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning.- Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/013/735/303013735X_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Methods and Clinical Applications for Spine Imaging|Guoyan Zheng

Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, Csi 2018, Held in Conjunction with Miccai

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Overview

Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU.- Predicting Scoliosis in DXA Scans Using Intermediate Representations.- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery.- Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mix-up.- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models.- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks.- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI.- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning.- Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach.

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Details

  • ISBN-13: 9783030137359
  • ISBN-10: 303013735X
  • Publisher: Springer
  • Publish Date: March 2019
  • Dimensions: 9.21 x 6.14 x 0.41 inches
  • Shipping Weight: 0.61 pounds
  • Page Count: 181

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