Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombus

Placental parenchymal lesions are commonly encountered and carry significant clinical associations. However, they are frequently missed or misclassified by general practice pathologists. Interpretation of pathology slides has emerged as one of the most successful applications of machine learning (ML...

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Veröffentlicht in:	Placenta (Eastbourne) 2023-04, Vol.135, p.43-50
Hauptverfasser:	Goldstein, Jeffery A., Nateghi, Ramin, Irmakci, Ismail, Cooper, Lee A.D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Female Fibrin Humans Infarction Infarction - pathology Intervillous thrombus Machine Learning Perivillous fibrin Placenta - pathology Placenta Diseases - pathology Pregnancy Thrombosis - pathology
Online-Zugang:	Volltext
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