Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images-Reference-Cited by-同舟云学术

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Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images

Published:2021-01-23 Issue:4 Volume:24 Page:868-877
ISSN:1436-3291
Container-title:Gastric Cancer
language:en
Short-container-title:Gastric Cancer

Author:

Hu Yajie,Su Feng,Dong Kun,Wang Xinyu,Zhao Xinya,Jiang Yumeng,Li Jianming,Ji Jiafu,Sun Yu

Funder

National Key Research and Development Program of China

Capital’s Funds for Health Improvement and Research

Natural Science Foundation of Jilin Province

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Gastroenterology,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10120-021-01158-9.pdf

Reference25 articles.

1. Golden JA. Deep learning algorithms for detection of lymph node metastases from breast cancer: helping artificial intelligence be seen. JAMA. 2017;318(22):2184–6. https://doi.org/10.1001/JAMA.2017.14580.

2. Esteva A, Kuprel B, Novoa RA, Ko JM, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115–8. https://doi.org/10.1038/NATURE21056.

3. Russakovsky O, Deng J, Su H, Krause J, Satheesh S, Ma S, et al. ImageNet Large scale visual recognition challenge. Int J Comput Vision. 2015;115(3):211–52. https://doi.org/10.1007/S11263-015-0816-Y.

4. Su F, Sun Y, Hu Y, Yuan P, Wang X, Wang Q, et al. Development and validation of a deep learning system for ascites cytopathology interpretation. Gastric Cancer. 2020. https://doi.org/10.1007/S10120-020-01093-1.

5. Steiner DF, MacDonald R, Liu Y, Truszkowski P, Hipp JD, Gammage C, et al. Impact of deep learning assistance on the histopathologic review of lymph nodes for metastatic breast cancer. Am J Surg Pathol. 2018;42(12):1636–46. https://doi.org/10.1097/PAS.0000000000001151.

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