Morose 发表于 2025-3-23 12:35:22
Macropinocytosis and Cell Migration: s work, we present a framework for the evaluation of growth predictions that focuses on the spatial infiltration patterns, and specifically evaluating a prediction of future growth. We propose to frame the problem as a ranking problem rather than a segmentation problem. Using the average precision aNotify 发表于 2025-3-23 14:58:37
http://reply.papertrans.cn/20/1904/190328/190328_12.pngGenetics 发表于 2025-3-23 21:10:33
Guillem Lambies,Cosimo Commissoad to more precise treatment. With unsupervised learning techniques, glioblastoma MRI-derived radiomic features have been widely utilized for tumor sub-region segmentation and survival prediction. However, the reliability of algorithm outcomes is often challenged by both ambiguous intermediate proce非秘密 发表于 2025-3-23 22:23:03
http://reply.papertrans.cn/20/1904/190328/190328_14.pngspinal-stenosis 发表于 2025-3-24 02:54:43
A Legal Approach to Monetary Policy,pathologically affected brains, and hence tend to suffer in performance when applied on brains with pathologies, e.g., gliomas, multiple sclerosis, traumatic brain injuries. Deep Learning (DL) methodologies for healthcare have shown promising results, but their clinical translation has been limited,regale 发表于 2025-3-24 08:37:58
http://reply.papertrans.cn/20/1904/190328/190328_16.png类型 发表于 2025-3-24 13:43:42
http://reply.papertrans.cn/20/1904/190328/190328_17.pngevanescent 发表于 2025-3-24 15:20:03
http://reply.papertrans.cn/20/1904/190328/190328_18.png水獭 发表于 2025-3-24 21:33:36
Abdul Ghafar Ismail,Zuriyati Ahmadmages using deep learning methods is critical for gliomas diagnosis. Deep learning segmentation architectures, especially based on fully convolutional neural network, have proved great performance on medical image segmentation. However, these approaches cannot explicitly model global information andMONY 发表于 2025-3-25 02:10:44
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