Application of deep learning-based CT texture analysis in TNM staging of gastric cancer-Reference-Cited by-同舟云学术

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Application of deep learning-based CT texture analysis in TNM staging of gastric cancer

Published:2023-09 Issue:3 Volume:16 Page:100635
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Liu Fengfeng,Xie Qun,Wang Qi,Li Xuejiao

Publisher

Elsevier BV

Subject

General Medicine

Reference34 articles.

1. Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?;Bayanati;[J]. European radiology,2015

2. A review of the application of deep learning in medical image classification and segmentation[J];Cai;Annals of Translational Medicine,2020

3. Mitosis detection in breast cancer histology images via deep cascaded networks[C];Chen;Proceedings of the AAAI Conference on Artificial Intelligence,2016

4. Spectral computed tomography in advanced gastric cancer: Can iodine concentration non-invasively assess angiogenesis?[J];Chen;World Journal of Gastroenterology,2017

5. CT texture analysis in differentiating major renal cell carcinoma subtypes and correlating with Fuhrman grade[J];Deng;European Radiology,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Segmentation and Feature Extraction for Gastric Cancer Detection;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

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