| 英文摘要 |
Brain tumors are a mass of unregulated cells brought about by uncontrolled growth, or if a cell does not die when it should. Accurate segmentation of these brain tumors is difficult due to their size, shape, and location differences. Artificial intelligence is an expansive tool with tumor classification, segmentation, and feature extraction applications. The neural networks artificial intel¬ligence models are based on are especially good at extracting meaning and definition from data by identifying deeper underlying patterns that may go unnoticed by humans. Brain tumors are volatile data, and deep learning neural networks and other machine learning algorithms excel in modeling highly variable data such as brain tumor location, size, and type. |
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