影像组学及深度学习在胃癌 T 分期的研究进展
摘要
一种新兴的技术，与卷积神经网络（Convolutional Neural Networks，CNNs）作为常见结构的深度学习（Deep Learning，
DL）算法在解决传统方法局限性的同时，也为胃癌的精准诊断和治疗提供了新的可能性。影像组学及深度学习不仅可以提
高胃癌 T 分期的准确性，还有助于个体化治疗方案的制定、疗效监测和预后评估。虽然目前还面临诸多挑战，比如数据获
取的一致性、模型的普适性和临床验证的需求。但在未来，随着更多高质量数据的积累和多中心研究的开展，影像组学及
深度学习在胃癌诊疗中的应用前景将更加广阔。
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