ASO Author Reflections: From Four Spatial-Input Strategies to a Full Exhaustive Paradigm-Refining Deep Learning Radiomics for Challenging Renal Masses.
Saved in:
| Title: | ASO Author Reflections: From Four Spatial-Input Strategies to a Full Exhaustive Paradigm-Refining Deep Learning Radiomics for Challenging Renal Masses. |
|---|---|
| Authors: | Xiao Y; Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Mao H; Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Fan H; Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Ye X; Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Huang H; Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Yang M; Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Zhang Y; Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. zhangyan@wmu.edu.cn. |
| Source: | Annals of surgical oncology [Ann Surg Oncol] 2026 May 28. Date of Electronic Publication: 2026 May 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
