Comment on "Recognizing uric acid type of urinary stones by deep learning": strengthening the reference standard and the image-to-label pipeline for reproducibility.

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Title: Comment on "Recognizing uric acid type of urinary stones by deep learning": strengthening the reference standard and the image-to-label pipeline for reproducibility.
Authors: Lin MG; Department of Radiology, Fuzhou Second General Hospital, Fu jian, China., Yang CH; Department of Radiology, Fuzhou Second General Hospital, Fu jian, China. 364173302@qq.com., Wang RJ; Department of Radiology, Fuzhou Second General Hospital, Fu jian, China.
Source: Urolithiasis [Urolithiasis] 2026 Apr 06; Vol. 54 (1). Date of Electronic Publication: 2026 Apr 06.
Publication Type: Letter
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101602699 Publication Model: Electronic Cited Medium: Internet ISSN: 2194-7236 (Electronic) Linking ISSN: 21947228 NLM ISO Abbreviation: Urolithiasis Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:2194-7236
DOI:10.1007/s00240-026-01965-8