multi-modality segmentationwhole heart segmentationshape-constrained de-formable modelsboundary detectioncomputed tomographymagnetic resonancerotational X-ray angiographyAutomatic segmentation is a prerequisite to efficiently analyze the large amount of image data produced by modern imaging modalities, e.g.. ...
Firstly, we introduce the general principle of deep learning and multi-modal medical image segmentation. Secondly, we present different deep learning network architectures, then analyze their fusion strategies and compare their results. The earlier fusion is commonly used, since it’s simple and it ...
Recently, deep learning-based approaches have presented the state-of-the-art performance in image classification, segmentation, object detection and tracking tasks. Due to their self-learning and generalization ability over large amounts of data, deep learning recently has also gained great interest ...
Avesselsegmentationmethod or multi‑modalityangiographicimagesbasedon multi‑scaleflteringand statisticalmodelsPeiLu1†,JunXia2†,Zhich..
[3] Ghiasi et al.,Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation [4] Kornblith et al.,Similarity of Neural Network Representations Revisited 作者介绍: 张文蔚,新加坡南洋理工大学在读博士生,研究领域为计算机视觉。在顶级会议上发表四篇论文,获得过 2019 年目标检测领域权威...
第一步2D→3D:利用2D segmentation信息对3D point进行染色(作者观点中的第一条,2D image包含color information),其主要优势在于: First, improving the initial proposal generation stage directly raises the quality of 3D detections. ---有效提高3D proposal生成质量 Second...
Deep learning based on segmentation models have been gradually applied in biomedical images and achieved state-of-the-art performance for 3D biomedical segmentation. However, most of existing biomedical segmentation researches take account of the applica
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Cross-modality deep feature learning for brain tumor segmentation 2021, Pattern Recognition Citation Excerpt : Multi-modality feature learning is gaining more and more attention in the recent years as the multi-modality data can provide richer information for sensing the physical world. Existing works ...
Multi-modalityobject detectionsemantic segmentationdeep learningautonomous drivingRecent advancements in perception for autonomous driving are driven by deep learning... D Feng,C Haase-Schutz,L Rosenbaum,... - 《IEEE Transactions on Intelligent Transportation Systems》 被引量: 0发表: 2020年 Multi-Sensor...