Prognostic Impact of Tumor Cell Nuclear Size Assessed by Artificial Intelligence in Esophageal Squamous Cell Carcinoma

Tumor cell nuclear size (NS) indicates malignant potential in breast cancer; however, its clinical significance in esophageal squamous cell carcinoma (ESCC) is unknown. Artificial intelligence (AI) can quantitatively evaluate histopathological findings. The aim was to measure NS in ESCC using AI and...

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Veröffentlicht in:	Laboratory investigation 2025-03, Vol.105 (3), p.102221, Article 102221
Hauptverfasser:	Kouzu, Keita, Tsujimoto, Hironori, Nearchou, Ines P., Einama, Takahiro, Watanabe, Takanori, Horiguchi, Hiroyuki, Kishi, Yoji, Tsuda, Hitoshi, Ueno, Hideki
Format:	Artikel
Sprache:	eng
Schlagworte:	deep learning esophageal cancer nuclear size pathology prognostic factor squamous cell carcinoma
Online-Zugang:	Volltext
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