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布基纳法索病理图像乳腺癌检测人工智能算法的比较分析。

Comparative Analysis of Artificial Intelligence Algorithms for Breast Cancer Detection from Pathological Image in Burkina Faso.

机构信息

Nazi Boni University, Bobo-Dioulasso, Burkina Faso.

Center for Training and Research in Medical Technology (CFRTM), Burkina Faso.

出版信息

Stud Health Technol Inform. 2024 Aug 22;316:645-649. doi: 10.3233/SHTI240496.

Abstract

Artificial Intelligence (AI) has revolutionized many fields, including medical imaging. This revolution has enabled the digitization of medical images, the development of algorithms allowing the use of data captured in natural language, and deep learning, enabling the development of algorithms for automatic processing of medical images from massive medical data. In Burkina Faso, early and accurate detection of breast cancer is a significant challenge due to limited resources and lack of specialized expertise. In this article, we examine the effectiveness of different artificial intelligence algorithms for breast cancer detection from pathological image.

摘要

人工智能(AI)已经彻底改变了许多领域,包括医学成像。这场革命使医学图像数字化、开发允许使用自然语言捕获的数据的算法以及深度学习成为可能,从而能够从大量医学数据中开发用于自动处理医学图像的算法。在布基纳法索,由于资源有限和缺乏专业知识,早期准确地检测乳腺癌是一个重大挑战。在本文中,我们研究了不同的人工智能算法在病理图像乳腺癌检测中的效果。

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