Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Xu Yongchao"'
Recent trends in cell segmentation have shifted towards universal models to handle diverse cell morphologies and imaging modalities. However, for continuously emerging cell types and imaging techniques, these models still require hundreds or thousand
Externí odkaz:
http://arxiv.org/abs/2412.01410
Publikováno v:
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Dec 2024, Lisbon (Portugal), Portugal
Annotating 3D medical images demands expert knowledge and is time-consuming. As a result, semi-supervised learning (SSL) approaches have gained significant interest in 3D medical image segmentation. The significant size differences among various orga
Externí odkaz:
http://arxiv.org/abs/2410.14210
Many medical image segmentation methods have achieved impressive results. Yet, most existing methods do not take into account the shape-intensity prior information. This may lead to implausible segmentation results, in particular for images of unseen
Externí odkaz:
http://arxiv.org/abs/2409.17503
Deep learning based methods often suffer from performance degradation caused by domain shift. In recent years, many sophisticated network structures have been designed to tackle this problem. However, the advent of large model trained on massive data
Externí odkaz:
http://arxiv.org/abs/2409.12522
Retinal image registration plays an important role in the ophthalmological diagnosis process. Since there exist variances in viewing angles and anatomical structures across different retinal images, keypoint-based approaches become the mainstream met
Externí odkaz:
http://arxiv.org/abs/2409.01068
Robot-assisted minimally invasive surgery benefits from enhancing dynamic scene reconstruction, as it improves surgical outcomes. While Neural Radiance Fields (NeRF) have been effective in scene reconstruction, their slow inference speeds and lengthy
Externí odkaz:
http://arxiv.org/abs/2405.17872
Medical anomaly detection is a critical research area aimed at recognizing abnormal images to aid in diagnosis.Most existing methods adopt synthetic anomalies and image restoration on normal samples to detect anomaly. The unlabeled data consisting of
Externí odkaz:
http://arxiv.org/abs/2405.12872
Anomaly detection in chest X-rays is a critical task. Most methods mainly model the distribution of normal images, and then regard significant deviation from normal distribution as anomaly. Recently, CLIP-based methods, pre-trained on a large number
Externí odkaz:
http://arxiv.org/abs/2405.11976
Deep learning has made significant progress in computer vision, specifically in image classification, object detection, and semantic segmentation. The skip connection has played an essential role in the architecture of deep neural networks,enabling e
Externí odkaz:
http://arxiv.org/abs/2405.01725
Publikováno v:
Mechanics & Industry, Vol 23, p 12 (2022)
This study aimed to obtain super smooth surface medical implant laser power bed fusion Ti6Al4V samples. A self-modified magnetorheological polishing device and polishing fluid were used to polish the laser power bed fusion additive shaped Ti6Al4V sam
Externí odkaz:
https://doaj.org/article/06b6183e74d845f382f00f72819231c2
