珍爱
发表于 2025-3-21 19:58:36
书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0629212<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2022读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0629212<br><br> <br><br>
avarice
发表于 2025-3-21 20:26:54
Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistencyh is difficult to acquire for laparoscopic image data, it is rarely possible to apply supervised depth estimation to surgical applications. As an alternative, self-supervised methods have been introduced to train depth estimators using only synchronized stereo image pairs. However, most recent work
粗野
发表于 2025-3-22 01:06:52
USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographerever, it is challenging to obtain informative US images because of their anatomical complexity, which is significantly dependent on the expertise of the sonographer. Therefore, in this study, we propose a fully automatic scanning-guide algorithm that assists unskilled sonographers in acquiring infor
最初
发表于 2025-3-22 07:56:39
http://reply.papertrans.cn/63/6293/629212/629212_4.png
不适当
发表于 2025-3-22 10:06:52
DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matchingo physicians. It increases the difficulty of estimating the relative position between interventional instruments and vessels, leading to inaccurate operation and higher intraoperative mortality. Providing doctors with dynamic angiographic images can be helpful. However, it often faces the challenges
BILK
发表于 2025-3-22 13:38:24
http://reply.papertrans.cn/63/6293/629212/629212_6.png
patriarch
发表于 2025-3-22 19:35:52
http://reply.papertrans.cn/63/6293/629212/629212_7.png
障碍
发表于 2025-3-22 22:46:15
http://reply.papertrans.cn/63/6293/629212/629212_8.png
motor-unit
发表于 2025-3-23 04:56:36
PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detectionifferent heights. The tips are used as key points to be matched between multiple sweeps. We extract them using a convolutional neural network to segment the cones in every ultrasound frame and then track them across the sweep. The calibration is robustly estimated using RANSAC and later refined empl
勉励
发表于 2025-3-23 06:00:26
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanningperators to improve their scanning skills on how to manipulate the probe to achieve the desired plane. In this paper, a multimodal guidance approach (Multimodal-GuideNet) is proposed to capture the stepwise dependency between a real-world US video signal, synchronized gaze, and probe motion within a