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深度学习在胰腺癌中的应用

Deep Learning Applications in Pancreatic Cancer.

作者信息

Patel Hardik, Zanos Theodoros, Hewitt D Brock

机构信息

Northwell Health-The Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA.

Department of Surgery, NYU Grossman School of Medicine, New York, NY 10016, USA.

出版信息

Cancers (Basel). 2024 Jan 19;16(2):436. doi: 10.3390/cancers16020436.

Abstract

Pancreatic cancer is one of the most lethal gastrointestinal malignancies. Despite advances in cross-sectional imaging, chemotherapy, radiation therapy, and surgical techniques, the 5-year overall survival is only 12%. With the advent and rapid adoption of AI across all industries, we present a review of applications of DL in the care of patients diagnosed with PC. A review of different DL techniques with applications across diagnosis, management, and monitoring is presented across the different pathological subtypes of pancreatic cancer. This systematic review highlights AI as an emerging technology in the care of patients with pancreatic cancer.

摘要

胰腺癌是最致命的胃肠道恶性肿瘤之一。尽管在横断面成像、化疗、放射治疗和手术技术方面取得了进展,但5年总生存率仅为12%。随着人工智能在所有行业的出现和迅速应用,我们对深度学习在胰腺癌确诊患者护理中的应用进行了综述。本文针对胰腺癌不同的病理亚型,介绍了不同深度学习技术在诊断、管理和监测中的应用。这项系统综述强调了人工智能作为胰腺癌患者护理中的一项新兴技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/960a18899aaa/cancers-16-00436-g001.jpg

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