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Nat Med. 2018 Oct;24(10):1559-1567. doi: 10.1038/s41591-018-0177-5. Epub 2018 Sep 17.
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Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images.深度卷积神经网络能够区分异质数字病理学图像。
EBioMedicine. 2018 Jan;27:317-328. doi: 10.1016/j.ebiom.2017.12.026. Epub 2017 Dec 28.
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Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review.用于图像分类的深度卷积神经网络：全面综述
Neural Comput. 2017 Sep;29(9):2352-2449. doi: 10.1162/NECO_a_00990. Epub 2017 Jun 9.
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Current State of the Regulatory Trajectory for Whole Slide Imaging Devices in the USA.美国全切片成像设备监管轨迹的现状
J Pathol Inform. 2017 May 15;8:23. doi: 10.4103/jpi.jpi_11_17. eCollection 2017.
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Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.通过全自动显微镜病理图像特征预测非小细胞肺癌预后。
Nat Commun. 2016 Aug 16;7:12474. doi: 10.1038/ncomms12474.
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Clinicopathologic characteristics of EGFR, KRAS, and ALK alterations in 6,595 lung cancers.6595例肺癌中表皮生长因子受体（EGFR）、 Kirsten大鼠肉瘤病毒癌基因（KRAS）和间变性淋巴瘤激酶（ALK）改变的临床病理特征
Oncotarget. 2016 Apr 26;7(17):23874-84. doi: 10.18632/oncotarget.8074.
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Biomarker testing and time to treatment decision in patients with advanced nonsmall-cell lung cancer.生物标志物检测与晚期非小细胞肺癌患者的治疗决策时间。
Ann Oncol. 2015 Jul;26(7):1415-21. doi: 10.1093/annonc/mdv208. Epub 2015 Apr 28.
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Adequacy of core needle biopsy specimens and fine-needle aspirates for molecular testing of lung adenocarcinomas.用于肺腺癌分子检测的粗针活检标本和细针穿刺抽吸物的充足性。
Am J Clin Pathol. 2015 Feb;143(2):193-200; quiz 306. doi: 10.1309/AJCPMY8UI7WSFSYY.
9
EGFR, KRAS, BRAF and ALK gene alterations in lung adenocarcinomas: patient outcome, interplay with morphology and immunophenotype.肺腺癌中 EGFR、KRAS、BRAF 和 ALK 基因改变：患者预后、与形态学和免疫表型的相互作用。
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Timeliness of care in patients with lung cancer: a systematic review.肺癌患者的治疗及时性：系统评价。
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The promise and challenges of deep learning models for automated histopathologic classification and mutation prediction in lung cancer.

作者信息

Patil Pradnya D, Hobbs Brian, Pennell Nathan A

机构信息

Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.

Department of Quantitative Health Sciences, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.

出版信息

J Thorac Dis. 2019 Feb;11(2):369-372. doi: 10.21037/jtd.2018.12.55.

DOI:10.21037/jtd.2018.12.55
PMID:30962976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6409244/
Abstract
摘要