Titlebook: Bildverarbeitung für die Medizin 2021; Proceedings, German Christoph Palm,Thomas M. Deserno,Thomas Tolxdorff Conference proceedings 2021 D

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書目名稱Bildverarbeitung für die Medizin 2021影響因子(影響力)




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書目名稱Bildverarbeitung für die Medizin 2021被引頻次學科排名




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書目名稱Bildverarbeitung für die Medizin 2021讀者反饋




書目名稱Bildverarbeitung für die Medizin 2021讀者反饋學科排名

AXIS

condescend

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

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

高調(diào)

,?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%.

圓錐體

ZEST

哥哥噴涌而出

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.

自由職業(yè)者

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