利用 U-Net 预测不可逆电穿孔过程中的热损伤图

IF 1.6 4区生物学 Q3 BIOLOGY

Electromagnetic Biology and Medicine Pub Date : 2023-12-29 DOI:10.1080/15368378.2023.2299212

Amir Khorasani

引用次数: 0

摘要

利用不可逆电穿孔技术（IRE）治疗癌症的最新进展再次激发了人们对开发基于深度学习方法的治疗规划系统的兴趣。本文将介绍基于深度学习方法的治疗规划系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Thermal damage map prediction during irreversible electroporation with U-Net

Recent developments in cancer treatment with irreversible electroporation (IRE) have led to a renewed interest in developing a treatment planning system based on Deep-Learning methods. This paper w...

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来源期刊

Electromagnetic Biology and Medicine 生物-生物物理

CiteScore

3.60

自引率

11.80%

发文量

审稿时长

>12 weeks

期刊介绍： Aims & Scope: Electromagnetic Biology and Medicine, publishes peer-reviewed research articles on the biological effects and medical applications of non-ionizing electromagnetic fields (from extremely-low frequency to radiofrequency). Topic examples include in vitro and in vivo studies, epidemiological investigation, mechanism and mode of interaction between non-ionizing electromagnetic fields and biological systems. In addition to publishing original articles, the journal also publishes meeting summaries and reports, and reviews on selected topics.