SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides.
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| Title: | SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides. |
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| Authors: | Jain A; College of Medicine, University of Cincinnati, 231 Albert Sabin Way, Cincinnati, OH, 45267, USA. jain2ae@mail.uc.edu., Perdomo D; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Nagururu N; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Li JA; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Ward BK; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Lauer AM; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Creighton FX; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. |
| Source: | Journal of the Association for Research in Otolaryngology : JARO [J Assoc Res Otolaryngol] 2024 Aug; Vol. 25 (4), pp. 1-8. Date of Electronic Publication: 2024 May 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag New York Inc Country of Publication: United States NLM ID: 100892857 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1438-7573 (Electronic) Linking ISSN: 14387573 NLM ISO Abbreviation: J Assoc Res Otolaryngol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1438-7573 |
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| DOI: | 10.1007/s10162-024-00948-z |
