Feasibility of a deep learning artificial intelligence model for the diagnosis of pediatric ileocolic intussusception with grayscale ultrasonography.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Se Woo Kim, Jung-Eun Cheon, Young Hun Choi, Jae-Yeon Hwang, Su-Mi Shin, Yeon Jin Cho, Seunghyun Lee, Seul Bi Lee
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引用次数: 0

Abstract

This study explored the feasibility of utilizing a deep learning artificial intelligence (AI) model to detect ileocolic intussusception on grayscale ultrasound images.
利用灰度超声波检查诊断小儿回结肠肠套叠的深度学习人工智能模型的可行性。
本研究探讨了利用深度学习人工智能(AI)模型在灰度超声图像上检测回结肠肠套叠的可行性。
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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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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