3D CT data for bone with metallic implants , for Deep learning 3d semantic segmentation of bones with metallic implants and correct metallic artifacts in CT images by deep learning , Novel Approach ,Fully deep artifact correction by threshold masking and 3d segmentation, Work genuinely by Eng. Bashar Shami., biodevelopeng@gmail.co
International audienceThe streak artifacts caused by metal implants degrade the image quality and li...
Background: The most tedious and time-consuming task in medical additive manufacturing (AM) is image...
International audienceObjectives: Bone segmentation can help bone disease diagnosis or post treatmen...
3D CT data for bone with metallic implants , for Deep learning 3d semantic segmentation of bones wit...
Objectives The susceptibility of CT imaging to metallic objects gives rise to strong streak artefact...
Funding Information: Harshit Agrawal and Ari Hietanen are employees at Planmeca Oy., Finland. This w...
Purpose: In order to attain anatomical models, surgical guides and implants for computer-assisted su...
© 2022 Korean Institute of Electrical Engineers. All rights reserved.In order to perform preoperativ...
Purpose: The aim of this study was to develop a deep learning-based method for segmentation of bones...
This work deals with usage of fully convolutional neural network for segmentation of bones in CT sca...
In computed tomography (CT) images, the presence of metal artifacts leads to contaminated object str...
The susceptibility of MRI to metallic objects leads to void MR signal and missing information around...
Metal artifacts are common in CT-guided interventions due to the presence of metallic instruments. T...
Use of metal objects such as dental implants, fillings, crowns, screws, nails, prosthesis and plates...
Introduction: Automated bone segmentation from MRI datasets would have a profound impact on clinical...
International audienceThe streak artifacts caused by metal implants degrade the image quality and li...
Background: The most tedious and time-consuming task in medical additive manufacturing (AM) is image...
International audienceObjectives: Bone segmentation can help bone disease diagnosis or post treatmen...
3D CT data for bone with metallic implants , for Deep learning 3d semantic segmentation of bones wit...
Objectives The susceptibility of CT imaging to metallic objects gives rise to strong streak artefact...
Funding Information: Harshit Agrawal and Ari Hietanen are employees at Planmeca Oy., Finland. This w...
Purpose: In order to attain anatomical models, surgical guides and implants for computer-assisted su...
© 2022 Korean Institute of Electrical Engineers. All rights reserved.In order to perform preoperativ...
Purpose: The aim of this study was to develop a deep learning-based method for segmentation of bones...
This work deals with usage of fully convolutional neural network for segmentation of bones in CT sca...
In computed tomography (CT) images, the presence of metal artifacts leads to contaminated object str...
The susceptibility of MRI to metallic objects leads to void MR signal and missing information around...
Metal artifacts are common in CT-guided interventions due to the presence of metallic instruments. T...
Use of metal objects such as dental implants, fillings, crowns, screws, nails, prosthesis and plates...
Introduction: Automated bone segmentation from MRI datasets would have a profound impact on clinical...
International audienceThe streak artifacts caused by metal implants degrade the image quality and li...
Background: The most tedious and time-consuming task in medical additive manufacturing (AM) is image...
International audienceObjectives: Bone segmentation can help bone disease diagnosis or post treatmen...
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