Zobrazeno 1 - 10
of 4 633
pro vyhledávání: '"Xing, Lei"'
Multi-modality imaging is widely used in clinical practice and biomedical research to gain a comprehensive understanding of an imaging subject. Currently, multi-modality imaging is accomplished by post hoc fusion of independently reconstructed images
Externí odkaz:
http://arxiv.org/abs/2409.19420
With the release of a large amount of astronomical data, an increasing number of close-in hot Jupiters have been discovered. Calculating their evolutionary curves using star-planet interaction models presents a challenge. To expedite the generation o
Externí odkaz:
http://arxiv.org/abs/2408.16212
Autor:
Xie, Yunfei, Zhou, Ce, Gao, Lang, Wu, Juncheng, Li, Xianhang, Zhou, Hong-Yu, Liu, Sheng, Xing, Lei, Zou, James, Xie, Cihang, Zhou, Yuyin
This paper introduces MedTrinity-25M, a comprehensive, large-scale multimodal dataset for medicine, covering over 25 million images across 10 modalities, with multigranular annotations for more than 65 diseases. These enriched annotations encompass b
Externí odkaz:
http://arxiv.org/abs/2408.02900
Autor:
Rajendran, Praveenbalaji, Yang, Yong, Niedermayr, Thomas R., Gensheimer, Michael, Beadle, Beth, Le, Quynh-Thu, Xing, Lei, Dai, Xianjin
Radiation therapy (RT) is one of the most effective treatments for cancer, and its success relies on the accurate delineation of targets. However, target delineation is a comprehensive medical decision that currently relies purely on manual processes
Externí odkaz:
http://arxiv.org/abs/2407.07296
Autor:
Liu, Sheng, Pastor-Serrano, Oscar, Chen, Yizheng, Gopaulchan, Matthew, Liang, Weixing, Buyyounouski, Mark, Pollom, Erqi, Le, Quynh-Thu, Gensheimer, Michael, Dong, Peng, Yang, Yong, Zou, James, Xing, Lei
Radiotherapy treatment planning is a time-consuming and potentially subjective process that requires the iterative adjustment of model parameters to balance multiple conflicting objectives. Recent advancements in large foundation models offer promisi
Externí odkaz:
http://arxiv.org/abs/2406.15609
Observations of transmission spectra reveal that hot Jupiters and Neptunes are likely to possess escaping atmospheres driven by stellar radiation. Numerous models predict that magnetic fields may exert significant influences on the atmospheres of hot
Externí odkaz:
http://arxiv.org/abs/2406.09802
By counting the number of pass/fail occurrences of a DUT (Device under Test) in the stirring process in a reverberation chamber (RC), the threshold electric field (E-field) level can be well estimated without tuning the input power and repeating the
Externí odkaz:
http://arxiv.org/abs/2404.15262
Large language models (LLMs) demonstrate emergent in-context learning capabilities, where they adapt to new tasks based on example demonstrations. However, in-context learning has seen limited effectiveness in many settings, is difficult to quantitat
Externí odkaz:
http://arxiv.org/abs/2311.06668
Autor:
Chen, Jieneng, Mei, Jieru, Li, Xianhang, Lu, Yongyi, Yu, Qihang, Wei, Qingyue, Luo, Xiangde, Xie, Yutong, Adeli, Ehsan, Wang, Yan, Lungren, Matthew, Xing, Lei, Lu, Le, Yuille, Alan, Zhou, Yuyin
Medical image segmentation plays a crucial role in advancing healthcare systems for disease diagnosis and treatment planning. The u-shaped architecture, popularly known as U-Net, has proven highly successful for various medical image segmentation tas
Externí odkaz:
http://arxiv.org/abs/2310.07781
Lung cancer is a significant cause of mortality worldwide, emphasizing the importance of early detection for improved survival rates. In this study, we propose a machine learning (ML) tool trained on data from the PLCO Cancer Screening Trial and vali
Externí odkaz:
http://arxiv.org/abs/2308.12188