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U-Net 变体在鼻咽癌肿瘤分割中的应用回顾

丁 宇欣

摘要

鼻咽癌 (NPC) 是头颈部最常见的恶性肿瘤之一。U-Net 因其灵活性、优化的模块化设计以及在所有医学图像模式
中的成功而成为最广泛使用的图像分割架构。本文首先介绍了当前鼻咽癌现状和 U-Net 的工作原理,然后,根据时间线回
顾了 U-Net 及其变体在鼻咽癌肿瘤分割中的应用进展。最后,本文讨论了当前研究的不足以及 U-net 应用于鼻咽癌的未
来发展方向,并提出了一些建议。

关键词

U-Net、鼻咽癌、图像分割、深度学习

全文:

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参考

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