Zhi-Ri Tang
Biographic Data
| ID | 9922705 |
|---|---|
| NAME | Zhi-Ri Tang |
| GIVEN NAMES | Zhi-Ri |
| FAMILY NAME | Tang |
| SIGNATURE | TANG Z |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0002-0900-6500 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Few-Sample Generation of Amount in Figures for Financial Multi-Bill Scene Based on GAN
Recognition of amount in figures in the financial multi-bill scenes is crucial for the automatic banking business. However, the diversity of banking business and the limitation of customer data privacy determine that it is difficult to collect a large number of sample datasets. Aiming at the problem of insufficient training data in multi-bill scenes and the low accuracy of the detection model, this article proposes a new generative adversarial ne…
A Visualized Dynamic Prediction Model for Lymphatic Metastasis in Ewing's Sarcoma for Smart Medical Services
Background This study aims to predict the lymphatic metastasis in Ewing's sarcoma (ES) patients by nomogram. The risk of lymphatic metastasis in patients with ES was predicted by the built model, which provided guidance for the clinical diagnosis and treatment planning. Methods A total of 929 patients diagnosed with ES were enrolled from the year of 2010 to 2016 in the Surveillance, Epidemiology, and End Results (SEER) database. The nomogram was …
No prominent works on this page.
A Visualized Dynamic Prediction Model for Lymphatic Metastasis in Ewing's Sarcoma for Smart Medical Services
Background This study aims to predict the lymphatic metastasis in Ewing's sarcoma (ES) patients by nomogram. The risk of lymphatic metastasis in patients with ES was predicted by the built model, which provided guidance for the clinical diagnosis and treatment planning. Methods A total of 929 patients diagnosed with ES were enrolled from the year of 2010 to 2016 in the Surveillance, Epidemiology, and End Results (SEER) database. The nomogram was …
Few-Sample Generation of Amount in Figures for Financial Multi-Bill Scene Based on GAN
Recognition of amount in figures in the financial multi-bill scenes is crucial for the automatic banking business. However, the diversity of banking business and the limitation of customer data privacy determine that it is difficult to collect a large number of sample datasets. Aiming at the problem of insufficient training data in multi-bill scenes and the low accuracy of the detection model, this article proposes a new generative adversarial ne…
Algorithm (1 work) · Artificial Intelligence (1 work) · Cancer (1 work) · Computer Science (1 work) · Currency Recognition and Detection (1 work) · Data mining (1 work) · Discriminator (1 work) · Fidelity (1 work) · Generative Adversarial Networks and Image Synthesis (1 work) · Handwritten Text Recognition Techniques (1 work)