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Ciro Russo1, Alessandro Bria1, Claudio Marrocco1
1Department of Electrical and Information Engineering, University of Cassino and L.M., Via G. Di Biasio 43, 03043 Cassino (FR), Italy.
这项研究介绍了GravityNet,这是一种用于小型医学图像损伤的新型探测器. 它独特的"重力点"动态地准病变,提高了乳房影像和 fundus 图像的检测准确性.
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