Jefferson
发表于 2025-3-21 17:58:39
书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0629206<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2021读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0629206<br><br> <br><br>
insert
发表于 2025-3-21 20:36:24
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心痛
发表于 2025-3-22 03:13:54
Colorectal Polyp Classification from White-Light Colonoscopy Images via Domain Alignmentfrom colonoscopy images. Most previous studies attempt to develop models for polyp differentiation using Narrow-Band Imaging (NBI) or other enhanced images. However, the wide range of these models’ applications for clinical work has been limited by the lagging of imaging techniques. Thus, we propose
Myocyte
发表于 2025-3-22 07:21:00
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Mindfulness
发表于 2025-3-22 10:14:55
Deep-Cleansing: Deep-Learning Based Electronic Cleansing in Dual-Energy CT Colonographyc surface in CT colonography (CTC). This paper introduced a deep-learning based EC method in dual-energy CTC (DE-CTC), named “Deep-Cleansing”. First, we calculated the “effective” atomic number (EAN) by fractions of atomic mass number using the low- and high-energy images in DE-CT. Second, multiple
BET
发表于 2025-3-22 15:23:14
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dragon
发表于 2025-3-22 17:21:28
Synthesis of Contrast-Enhanced Spectral Mammograms from Low-Energy Mammograms Using cGAN-Based Synthhigh predictive value. However, the iodinated contrast media injected during CESM examination can cause adverse reactions, such as allergic reactions, and even cause contra-induced nephropathy. Therefore, iodinated contrast media cannot be used for some patients. To address this problem, we develope
广大
发表于 2025-3-23 00:24:10
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammogramso-step paradigm: segmenting each MC and analyzing their spatial distributions to form MC clusters. However, segmentation of MCs cannot avoid low sensitivity or high false positive rate due to their variability in size (sometimes <0.1 mm), brightness, and shape (with diverse surroundings). In this pa
lethal
发表于 2025-3-23 03:53:53
Graph Transformers for Characterization and Interpretation of Surgical Marginse. Considering the interpretability of Transformer models, and the power of graph networks in analyzing the inherent hierarchy of biological signals, a combined approach would be the next generation solution in computer aided interventions. In this study, we propose a framework for classification an
DRILL
发表于 2025-3-23 09:14:19
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