Deep Learning Framework for Detecting Positive Lymph Nodes of Gastric Cancer on Histopathological Images-Reference-Cited by-同舟云学术

Deep Learning Framework for Detecting Positive Lymph Nodes of Gastric Cancer on Histopathological Images

Published:2021-10-29 Issue: Volume: Page:
ISSN:
Container-title:2021 6th International Conference on Biomedical Imaging, Signal Processing
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Author:

Huang Yuxiu¹,Xue Yuyang²,Lan Junlin¹,Deng Yanglin¹,Chen Gang³,Zhang Hejun³,Dang Mengyuan⁴,Tong Tong⁵

Affiliation:

1. College of Physics and Information Engineering, Fuzhou University, China

2. Department of Computer Science, University of Tsukuba, Japan

3. Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, China

4. Fujian Medical University, China

5. College of Physics and Information Engineering, Fuzhou University, China and Fujian Key Lab of Medical Instrumentation&Pharmaceutical Technology, Fuzhou University, China

Funder

Science and Technology Program of Fujian Province of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3502803.3502806

Reference30 articles.

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3. Guanzhen Yu Jiejun Wang Ying Chen Xi Wang Jun Pan Qiang Li and Keping Xie. 2008. Tissue microarray analysis reveals strong clinical evidence for a close association between loss of annexin A1 expression and nodal metastasis in gastric cancer. Clinical & experimental metastasis 25 7 (2008) 695-702. https://doi.org/10.1145/3447450.3447489 10.1145/3447450.3447489

4. Guanzhen Yu Jiejun Wang Ying Chen Xi Wang Jun Pan Qiang Li and Keping Xie. 2008. Tissue microarray analysis reveals strong clinical evidence for a close association between loss of annexin A1 expression and nodal metastasis in gastric cancer. Clinical & experimental metastasis 25 7 (2008) 695-702. https://doi.org/10.1145/3447450.3447489

5. Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification

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