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CN110135454A
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A kind of deep learning model training method based on 3D faulted scanning pattern data set
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CN110136096A
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A method of lesion region segmentation is carried out based on faulted scanning pattern data set
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CN110163867A
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A method of divided automatically based on lesion faulted scanning pattern
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CN110136137A
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A method of angiosomes segmentation is carried out based on faulted scanning pattern data set
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CN109893203A
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It is a kind of for automatically adjusting the bone drilling device pierced on angle device
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CN109893224A
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It is a kind of to assist cerebral hemorrhage puncture drainage method using 3D printing fixed equipment
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CN109893208A
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One kind passing through medical image three-dimensional modeling orientation direction orthopaedics boring method
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CN110009724A
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A kind of correction analysis method according to the non-sclerotin modeling subregion volume ratio in joint
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CN109893223A
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A kind of 3D printing cerebral hemorrhage puncture drainage path orientation device and preparation method thereof
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CN109893221A
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A kind of puncture path positioning device of cerebral hemorrhage puncture drainage
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CN109893220A
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A kind of confirmation of auxiliary cerebral hemorrhage puncture drainage puncture path and localization method
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CN109893245A
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A method of determining that opening cranium enters paths by medical image three-dimensional modeling
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CN109893175A
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A kind of device carrying out aspiration biopsy by laser aiming
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CN109893202A
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A kind of outer orthopaedics drilling equipment of automatic guide body
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CN109893174A
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A method of single needle or spininess aspiration biopsy are carried out by laser aiming
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CN109893204A
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A kind of more drill-bit changing device for being guided on bone drilling device automatically
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CN109893222A
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A kind of puncture guide of the implantable treatment laser positioning for intervention ablation
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CN109173087A
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A method of radioactive prospecting instrument is realized using laser aiming
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CN109432610A
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A kind of coplanar mechanism and its control system for laser aiming
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CN109173086A
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The system that best radioactive particle distributing position and quantity are obtained using tumor imaging
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