一种基于ResNet-18的医学影像触觉化系统
王 皓 （ 昭通学院 物理与信息工程学院 ）
https://doi.org/10.37155/2717-5170-0706-57Abstract
本文针对视障医生与患者对医学影像触觉化呈现的迫切需求展开研究。传统方法在将医学图像转换为触 觉格式时存在效率低、成本高及精度不足等问题。为此，本文提出一种基于深度学习的新颖系统，能够自动化生成X 光医学图像的触觉表示。该系统采用ResNet-18深度学习模型，生成适用于触觉渲染的高分辨率深度图。系统性能通过 准确率等客观指标进行评估，并结合视障医疗从业者的用户反馈进一步验证。实验结果表明，该系统在提升医学影像 可感知性方面具有可行性，有望增强诊断精度并推动医疗公平性。后续研究将把系统拓展至其他影像模态，并优化其 在实时临床场景中的应用效果。
Keywords
深度学习；医学影像可触；性视障；ResNet-18Full Text
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10.3390/polym15092180
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Copyright © 2025 王 皓
Publishing time:2025-06-30
This work is licensed under a Creative Commons Attribution 4.0 International License
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