Titlebook: Computational Methods and Clinical Applications in Musculoskeletal Imaging; 6th International Wo Toma? Vrtovec,Jianhua Yao,Jose M. Pozo Con

Osteopenia

書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging影響因子(影響力)




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging影響因子(影響力)學(xué)科排名




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging網(wǎng)絡(luò)公開度




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging被引頻次




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging被引頻次學(xué)科排名




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging年度引用




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging年度引用學(xué)科排名




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging讀者反饋




書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging讀者反饋學(xué)科排名

磨碎

Style in British Television Dramaen with iteratively re-estimated shape models. Preliminary results show that the proposed multi-pass U-net with iterative shape estimation outperforms both 2D and 3D conventional U-nets without the shape model.

恭維

Style in British Television Dramaechanical strain, etc.) can be directly integrated into this surface remodeling force. Remodeling can be naturally restricted around foreign bodies (such as modeling adaptation around a surgical screw). Future work aims to identify the surface remodeling force from longitudinal image data.

GRILL

Style in British Television Dramaetected centerlines. We applied our method to CT volumes with an isotropic voxel spacing of 1.5?mm from 113 patients which included a variety of different challenges and achieved a mean centerline accuracy of 0.723?mm with respect to manual centerline annotations. The presented approach can be appli

Expostulate

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https://doi.org/10.1057/9781137265920xis. From the hip axis, and the line along the sacral endplate and its center, PI is computed. Measurements were performed on X-ray pelvic images from 38 subjects (15 males/23 females; mean age 71.1?years), and statistical analysis of reference manual and fully automated measurements revealed a rela

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Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learnon on the skeleton. ESM and attached area are extracted manually from the CT images of 11 cases and used for evaluation. In the experiments, automatic recognition was performed for each case using the leave-one-out method. The mean recognition accuracy of ESM and attached area was . and ., respectiv

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Pelvis Segmentation Using Multi-pass U-Net and Iterative Shape Estimation,en with iteratively re-estimated shape models. Preliminary results show that the proposed multi-pass U-net with iterative shape estimation outperforms both 2D and 3D conventional U-nets without the shape model.

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