Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; 23rd International C Anne L. Martel,Purang Abolmaesumi,Leo Joskow

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書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020影響因子(影響力)




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020影響因子(影響力)學(xué)科排名




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020被引頻次




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020被引頻次學(xué)科排名




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020年度引用




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020年度引用學(xué)科排名




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020讀者反饋




書(shū)目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020讀者反饋學(xué)科排名

江湖騙子

Rui Huang,Yuanjie Zheng,Zhiqiang Hu,Shaoting Zhang,Hongsheng Lihe Diskurse.Mit Anwendungsbezügen für die Entscheidungs- undDer vorliegende Text diskutiert sinntheoretische Grundlagen der neueren Organisationsforschung und macht diese durch die Analyse erkenntnisleitender Begriffe aktueller organisationswissenschaftlicher Diskurse (Kognition, Institution, Praxis

錢(qián)財(cái)

Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Poinicians. Computer-aided lesion/significant-findings detection techniques are at the core of medical imaging, which remain very challenging due to the tremendously large variability of lesion appearance, location and size distributions in 3D imaging. In this work, we propose a novel deep anchor-free o

Vasoconstrictor

DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision, brain atrophy or changes in the pleural space due to pleural effusions. In this work, we present a weakly supervised and detail-preserving method that is able to detect structural changes of existing anatomical structures. In contrast to standard anomaly detection methods, our method extracts info

Additive

嫌惡

CircleNet: Anchor-Free Glomerulus Detection with Circle RepresentationcleNet, a simple anchor-free detection method with circle representation for detection of the ball-shaped glomerulus. Different from the traditional bounding box based detection method, the bounding circle (1) reduces the degrees of freedom of detection representation, (2) is naturally rotation inva

健壯

坦白

Costume

EWER