Histopathological Cancer Detection using Deep Learning

P. Ghadekar, A. Khandelwal, Prateek Roy, Abhijeet Gawas, C. Joshi
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Abstract

Deep learning is a sophisticated machine learning technique that teaches machines what to try and do that comes naturally to humans like understanding patterns and recognizing, analyzing things. Nowadays, health care has become an associate trade that uses deep learning the foremost. Deep learning intending offers pathbreaking applications. Deep learning collects large amounts of information as well as patient records, medical reports, and insurance records, and applies your neural network to produce the most effective results. In this paper, the histopathology of detecting bodily fluid nodes is predicted using a deep learning model of cancer scanning. This will be useful to society as a timely detection and alert system to detect cancer trends.
使用深度学习的组织病理学癌症检测
深度学习是一种复杂的机器学习技术,它教会机器去尝试和做那些对人类来说很自然的事情,比如理解模式、识别和分析事物。如今,医疗保健已经成为最需要深度学习的行业。深度学习提供了突破性的应用。深度学习收集大量信息以及患者记录、医疗报告和保险记录,并应用神经网络产生最有效的结果。在本文中,使用癌症扫描的深度学习模型来预测检测体液节点的组织病理学。这将有助于社会作为一个及时检测和预警系统,以发现癌症的趋势。
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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