Diagnosis of Hirschsprung disease by analyzing acetylcholinesterase staining using artificial intelligence
Software-assisted machine-learning analysis of AChE staining is suitable to improve the diagnostic accuracy of HD.
Authors
- Patrick N. Harter (ORCID: https://orcid.org/0000-0001-5530-6910)
- Udo Rolle (ORCID: https://orcid.org/0000-0002-1268-6092)
- Florian Friedmacher (ORCID: https://orcid.org/0000-0002-7900-6004)
- Till‐Martin Theilen
- Yannick Braun (ORCID: https://orcid.org/0000-0002-2939-4512)
- Katharina Johanna Weber (ORCID: https://orcid.org/0000-0001-9395-8944)
- Henning C. Fiegel
Institutions
- Goethe University Frankfurt (DE)
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- University Hospital Frankfurt (DE)
- Frankfurt Cancer Institute (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Journal of Pediatric Gastroenterology and Nutrition
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1002/jpn3.12339
- Citations
- 8
- Primary Topic
- Congenital gastrointestinal and neural anomalies
- Type
- article
- Field-Weighted Citation Impact
- 4.58