人工智能刺激拉曼组织学解读为未经处理的前列腺活检提供近乎实时的病理反馈。

M P Mannas, F M Deng, A Ion-Margineanu, D Jones, D Hoskoppal, J Melamed, S Pastore, C Freudiger, D A Orringer, S S Taneja
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引用次数: 0

摘要

刺激拉曼组织学是一项创新技术,可生成未处理组织的实时、高分辨率显微图像,显著缩短前列腺活检解释时间。本研究旨在评估人工智能卷积神经网络解释受刺激拉曼组织学生成的前列腺活检组织学图像的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stimulated Raman Histology Interpretation by Artificial Intelligence Provides Near-Real-Time Pathologic Feedback for Unprocessed Prostate Biopsies.
Stimulated Raman histology is an innovative technology that generates real-time, high-resolution microscopic images of unprocessed tissue, significantly reducing prostate biopsy interpretation time. This study aims to evaluate the ability for an artificial intelligence convolutional neural network to interpretate prostate biopsy histologic images created with stimulated Raman histology.
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