Open Access
ARTICLE
Rectal Cancer Stages T2 and T3 Identification Based on Asymptotic Hybrid Feature Maps
1 R&D Center of Artificial Intelligence Systems and Applications, School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122, China
2 Shanghai Enterprise Information Operation Center, China Telecom Group Co., Ltd., Shanghai, 201315, China
3 Department of Radiology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215123, China
4 Suzhou Yunmai Software Technology Co., Ltd., Suzhou, 215100, China
* Corresponding Author: Pengjiang Qian. Email: