独裁者
发表于 2025-3-21 18:06:49
书目名称Bildverarbeitung für die Medizin 2021影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0186209<br><br> <br><br>书目名称Bildverarbeitung für die Medizin 2021读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0186209<br><br> <br><br>
AXIS
发表于 2025-3-21 22:18:27
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condescend
发表于 2025-3-22 03:16:34
An Optical Colon Contour Tracking System for Robot-aided Colonoscopy,ment of balloon after touching the intestine wall is calculated as a vector between the circle‘s center and the image center. This ensures that the robot - aided endoscope can follow the intestinal contour.
Calibrate
发表于 2025-3-22 06:46:05
Franz-Josef Hutter,Anja Mihr,Carsten Tessmerr 60; 000 annotated landmarks. The proposed heatmap-based neural network achieves a mean positive predictive value (PPV) of 66:68 . 4:67% and a mean true positive rate (TPR) of 24:45 . 5:06% on the intraoperative test dataset and a mean PPV of 81:50 . 5:77% and a mean TPR of 61:60 . 6:11% on a datas
高调
发表于 2025-3-22 11:12:39
,«Reisen bildet»… Vorurteile und Klischees?,rectional convolutional long short term memory (CONVLSTM), and fusion of bi-directional CONVLSTM and 3D CNNwere trained and tested. The combination of CONVLSTM and 3D CNN surpasses the other two methods and achieves a macro f1-score (mean f1-scores of two classes) of 93%.
圆锥体
发表于 2025-3-22 15:59:30
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ZEST
发表于 2025-3-22 17:33:13
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哥哥喷涌而出
发表于 2025-3-22 21:55:33
Interactive Design of Convolutional Neural Networks for Medical Image Analysis,ation, and identification. The design of a CNN model traditionally relies on the pre-annotation of a large dataset, the choice of the model‘s architecture, and the tunning of the training hyperparameters. These models are sought as “ black-boxes”, implying that one cannot explain their decisions.
自由职业者
发表于 2025-3-23 01:38:44
Learning-based Patch-wise Metal Segmentation with Consistency Check,duction (MAR) methods, whose first step is always a segmentation of the present metal objects, try to remove these artifacts. Thereby, the segmentation is a crucial task which has strong influence on the MAR‘s outcome. This study proposes and evaluates a learning-based patch-wise segmentation networ
殖民地
发表于 2025-3-23 08:57:24
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