Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Wu, Linshan"'
AI-driven tumor analysis has garnered increasing attention in healthcare. However, its progress is significantly hindered by the lack of annotated tumor cases, which requires radiologists to invest a lot of effort in collecting and annotation. In thi
Externí odkaz:
http://arxiv.org/abs/2406.01264
The Vision Transformer (ViT) has demonstrated remarkable performance in Self-Supervised Learning (SSL) for 3D medical image analysis. Mask AutoEncoder (MAE) for feature pre-training can further unleash the potential of ViT on various medical vision t
Externí odkaz:
http://arxiv.org/abs/2404.15580
Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by weak labels, which is receiving significant attention due to its low annotation cost. Existing approaches focus on generating pseudo labels for supervision while larg
Externí odkaz:
http://arxiv.org/abs/2403.13225
Self-Supervised Learning (SSL) has demonstrated promising results in 3D medical image analysis. However, the lack of high-level semantics in pre-training still heavily hinders the performance of downstream tasks. We observe that 3D medical images con
Externí odkaz:
http://arxiv.org/abs/2402.17300
Unsupervised domain adaptive (UDA) image segmentation has recently gained increasing attention, aiming to improve the generalization capability for transferring knowledge from the source domain to the target domain. However, in high spatial resolutio
Externí odkaz:
http://arxiv.org/abs/2401.04412
Deep-learning (DL) based methods are playing an important role in the task of abdominal organs and tumors segmentation in CT scans. However, the large requirements of annotated datasets heavily limit its development. The FLARE23 challenge provides a
Externí odkaz:
http://arxiv.org/abs/2310.01159
Publikováno v:
In Surfaces and Interfaces March 2024 46
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 January 2024 681
Publikováno v:
In Journal of Cleaner Production 15 January 2024 437
Publikováno v:
In Chemical Engineering Journal 15 January 2024 480