Fastest Prostate Cancer Prediction on Whole-Mount Pathological Slides Using Self-Reform Multilayer Transformer
In the clinical diagnosis of prostate cancer (PCa), the pathological image is regarded as the “golden standard”. Pathological images are characterized by their immense size with giga-pixel. Moreover, pixels in each whole-mount slide of PCa are increased by approximately <inl...
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| Main Authors: | Linjie Xu, Xiaotian Yu, Haoming Luo, Jili Wang, Wenjie Liang, Jing Zhang, Zunlei Feng, Cheng Lu, Xiuming Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10949171/ |
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