Study on automatic recognition of stone composition in intraoperative endoscopic images-a single center study.
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| Title: | Study on automatic recognition of stone composition in intraoperative endoscopic images-a single center study. |
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| Authors: | Luo D; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China., Wang B; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China., Song H; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China., Ji C; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China., Hu W; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China., Xiao B; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China., Su B; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China., Liu Y; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China., Li J; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China. |
| Source: | The Canadian journal of urology [Can J Urol] 2026 Jun 26; Vol. 33 (3), pp. 623-634. Date of Electronic Publication: 2026 Jun 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: CJU Communications Country of Publication: United States NLM ID: 9515842 Publication Model: Electronic Cited Medium: Internet ISSN: 1488-5581 (Electronic) Linking ISSN: 11959479 NLM ISO Abbreviation: Can J Urol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1488-5581 |
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| DOI: | 10.32604/cju.2026.076790 |
