How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. (arXiv:2206.07599v1 [eess.IV])

Web: http://arxiv.org/abs/2206.07599

Gigapixel medical images provide massive data, both morphological textures
and spatial information, to be mined. Due to the large data scale in histology,
deep learning methods play an increasingly significant role as feature
extractors. Existing solutions heavily rely on convolutional neural networks
(CNNs) for global pixel-level analysis, leaving the underlying local geometric
structure such as the interaction between cells in the tumor microenvironment
unexplored. The topological structure in medical images, as proven to be
closely related to tumor evolution, can …

arxiv cnns gnns images information medical mining scale