利用器官特异性深度学习将牙科锥束计算机断层扫描中的剂量-面积乘积转换为有效剂量

Ruben Pauwels
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引用次数: 0

摘要

目的 利用深度学习技术,开发一种准确的方法,用于将牙科锥束计算机断层扫描(CBCT)的剂量-面积乘积(DAP)转换为患者剂量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learning
Objective To develop an accurate method for converting dose-area product (DAP) to patient dose for dental cone-beam computed tomography (CBCT) using deep learning.
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