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

Saved in:
Bibliographic Details
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41940975
AccessLevel: 2
PubType: Editorial & Opinion
PubTypeId: editorialOpinion
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Comment on "Recognizing uric acid type of urinary stones by deep learning": strengthening the reference standard and the image-to-label pipeline for reproducibility.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Lin+MG%22">Lin MG</searchLink>; Department of Radiology, Fuzhou Second General Hospital, Fu jian, China.<br /><searchLink fieldCode="AU" term="%22Yang+CH%22">Yang CH</searchLink>; Department of Radiology, Fuzhou Second General Hospital, Fu jian, China. 364173302@qq.com.<br /><searchLink fieldCode="AU" term="%22Wang+RJ%22">Wang RJ</searchLink>; Department of Radiology, Fuzhou Second General Hospital, Fu jian, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101602699%22">Urolithiasis</searchLink> [Urolithiasis] 2026 Apr 06; Vol. 54 (1). <i>Date of Electronic Publication: </i>2026 Apr 06.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Letter
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101602699 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2194-7236 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221947228%22">21947228 </searchLink><i>NLM ISO Abbreviation: </i>Urolithiasis <i>Subsets: </i>MEDLINE; In Process
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41940975
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00240-026-01965-8
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Comment on "Recognizing uric acid type of urinary stones by deep learning": strengthening the reference standard and the image-to-label pipeline for reproducibility.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lin MG
      – PersonEntity:
          Name:
            NameFull: Yang CH
      – PersonEntity:
          Name:
            NameFull: Wang RJ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 06
              M: 04
              Text: 2026 Apr 06
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2194-7236
          Numbering:
            – Type: volume
              Value: 54
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Urolithiasis
              Type: main
ResultId 1