利用强化学习检测组织病理学图像中的脂滴

IF 1.5 4区生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology & Biotechnological Equipment Pub Date : 2024-04-08 DOI:10.1080/13102818.2024.2338433

Yoshitomi Harada, Haruto Nishida, Keiko Matsuura

引用次数: 0

摘要

病理图像中脂滴的大小、阴影和形状各不相同，因此对其进行识别和分析至关重要。开发一种基于人工智能的脂滴识别和分析技术是一项艰巨的任务。

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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Lipid droplet detection in histopathological images using reinforcement learning

The identification and analysis of lipid droplets in pathological images are pivotal owing to the variations in their size, shading and shape. The development of an artificial intelligence-based au...

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来源期刊

Biotechnology & Biotechnological Equipment 工程技术-生物工程与应用微生物

CiteScore

3.10

自引率

0.00%

发文量

审稿时长

1 months

期刊介绍： Biotechnology & Biotechnological Equipment (B&BE) is an international open access journal publishing cutting-edge research. A modern world requires modern biotechnology and nanobiology. The journal is a forum that provides society with valuable information for a healthy and better life and promotes “the Science and Culture of Nature”. The journal publishes original research and reviews with a multidisciplinary perspective; expanded case reports with a focus on molecular medical research and advanced practice in evidence-based medicine are also considered.