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Metastatic Cancer Image Classification Based On Deep Learning Method
Using histopathological images to automatically classify cancer is a difficult task for accurately detecting cancer, especially to identify metastatic cancer in small image patches obtained from larger digital pathology scans.
Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder
The results demonstrate the effectiveness of our method, which outperforms the baseline on 10 kinds of data and achieves nearly 50 percent improvement on average.
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