Deep learning based on ultrasound for differential diagnosis of pancreatic serous cystic neoplasm and mucinous cystic neoplasm
Zhiqiang Yuan, Yingyu Shi, Shuang Chen, Jiali Yang, Juan Chen, Jiawu Li, Yang Pu, Xiaojuan Ma, Qianru Yang, Xing Zhao, Lichao Mou, Yilei Shi, Yan Luo · 2025
Read Deep learning based on ultrasound for differential diagnosis of pancreatic serous cystic neoplasm and mucinous cystic neoplasm by Zhiqiang Yuan, Yingyu Shi, Shuang Chen, Jiali Yang, Juan Chen, Jiawu Li, Yang Pu, Xiaojuan Ma, Qianru Yang, Xing Zhao, Lichao Mou, Yilei Shi, Yan Luo (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12751444.txt.
Description
Zhiqiang Yuan and co-authors teach nets to split two pancreas cyst kinds on sound scans in a 2025 study. One kind is mild; the next can turn to cancer, so the split steers care. Charts from 459 firm cases in two sites trained five deep nets. Best of the five then faced junior and senior scan doctors, with and sans net aid. Sound scans cost less than deep probes, which frames the aim.
The best net scored 0.904 on home tests and 0.866 on the far site. That matched senior doctors and beat juniors on key marks. With net aid, juniors rose hard; seniors held flat. The authors pitch the net as a cheap aid for less seasoned eyes.
Catalog record
| CREATOR | Zhiqiang Yuan, Yingyu Shi, Shuang Chen, Jiali Yang, Juan Chen, Jiawu Li, Yang Pu, Xiaojuan Ma, Qianru Yang, Xing Zhao, Lichao Mou, Yilei Shi, Yan Luo |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |