Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models.
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| Title: | Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models. |
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| Authors: | Balan J; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., McDonnell SK; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Fogarty Z; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Larson NB; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. |
| Source: | Journal of pathology informatics [J Pathol Inform] 2025 Apr 15; Vol. 17, pp. 100443. Date of Electronic Publication: 2025 Apr 15 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2229-5089 |
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| DOI: | 10.1016/j.jpi.2025.100443 |
