Research on Application of Deep Learning in Esophageal Cancer Pathological Detection

Author:

Lin Xiang,Juxiao Zhang,Lu Yin,Wenpei Ji

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Tsai, T.J., et al.: Intelligent identification of early esophageal cancer by band-selective hyperspectral imaging. Cancers 14(17), 4292 (2022)

2. Wang, Z., et al.: Three feature streams based on a convolutional neural network for early esophageal cancer identification. Multimedia Tools and Applications, 1–18 (2022)

3. Niazi, M.K.K., et al.: Digital pathology and artificial intelligence. Lancet Oncol. 20(5), 253–261 (2019)

4. Takeuchi, M., et al.: Performance of a deep learning-based identification system for esophageal cancer from CT images. Esophagus 18, 612–620 (2021)

5. Zhu, H., et al.: An evolutionary attention-based network for medical image classification. Int. J. Neural Sys. 2350010 (2022)

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