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使用卷积神经网络检测头颈部数字化组织学图像中的鳞状细胞癌。

Detection of Squamous Cell Carcinoma in Digitized Histological Images from the Head and Neck Using Convolutional Neural Networks.

作者信息

Halicek Martin, Shahedi Maysam, Little James V, Chen Amy Y, Myers Larry L, Sumer Baran D, Fei Baowei

机构信息

Department of Bioengineering, University of Texas at Dallas, Dallas, TX, USA.

Georgia Inst. of Tech. & Emory Univ., Dept. of Biomedical Engineering, Atlanta, GA.

出版信息

Proc SPIE Int Soc Opt Eng. 2019 Feb;10956. doi: 10.1117/12.2512570. Epub 2019 Mar 18.

DOI:10.1117/12.2512570
PMID:32476700
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7261614/
Abstract

Primary management for head and neck squamous cell carcinoma (SCC) involves surgical resection with negative cancer margins. Pathologists guide surgeons during these operations by detecting SCC in histology slides made from the excised tissue. In this study, 192 digitized histological images from 84 head and neck SCC patients were used to train, validate, and test an inception-v4 convolutional neural network. The proposed method performs with an AUC of 0.91 and 0.92 for the validation and testing group. The careful experimental design yields a robust method with potential to help create a tool to increase efficiency and accuracy of pathologists for detecting SCC in histological images.

摘要

头颈部鳞状细胞癌（SCC）的主要治疗方法是进行手术切除，确保切缘无癌组织残留。在这些手术过程中，病理学家通过在切除组织制成的组织学切片中检测SCC来指导外科医生。在本研究中，使用来自84名头颈部SCC患者的192张数字化组织学图像来训练、验证和测试一个Inception-v4卷积神经网络。所提出的方法在验证组和测试组中的AUC分别为0.91和0.92。精心设计的实验产生了一种可靠的方法，有可能帮助创建一种工具，以提高病理学家在组织学图像中检测SCC的效率和准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/f13052155260/nihms-1592292-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/06a5ca1d510c/nihms-1592292-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/99a6883ea2c2/nihms-1592292-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/ea229d10de3c/nihms-1592292-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/4854df15910a/nihms-1592292-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/f13052155260/nihms-1592292-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/06a5ca1d510c/nihms-1592292-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/99a6883ea2c2/nihms-1592292-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/ea229d10de3c/nihms-1592292-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/4854df15910a/nihms-1592292-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df8/7261614/f13052155260/nihms-1592292-f0005.jpg

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