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pro vyhledávání: '"Wang, Jay C."'
Autor:
Liu, Chen, Xu, Ke, Shen, Liangbo L., Huguet, Guillaume, Wang, Zilong, Tong, Alexander, Bzdok, Danilo, Stewart, Jay, Wang, Jay C., Del Priore, Lucian V., Krishnaswamy, Smita
The forecasting of disease progression from images is a holy grail for clinical decision making. However, this task is complicated by the inherent high dimensionality, temporal sparsity and sampling irregularity in longitudinal image acquisitions. Ex
Externí odkaz:
http://arxiv.org/abs/2406.14794
Autor:
Liu, Chen, Amodio, Matthew, Shen, Liangbo L., Gao, Feng, Avesta, Arman, Aneja, Sanjay, Wang, Jay C., Del Priore, Lucian V., Krishnaswamy, Smita
Segmenting medical images is critical to facilitating both patient diagnoses and quantitative research. A major limiting factor is the lack of labeled data, as obtaining expert annotations for each new set of imaging data and task can be labor intens
Externí odkaz:
http://arxiv.org/abs/2209.11359