Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022; 25th International C Linwei Wang,Qi Dou,Shuo Li Conference procee

珍愛

書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影響因子(影響力)




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影響因子(影響力)學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022網(wǎng)絡(luò)公開度




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引頻次




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引頻次學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022讀者反饋




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022讀者反饋學(xué)科排名

avarice

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

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

不適當(dāng)

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

patriarch

障礙

motor-unit

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

勉勵(lì)

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