Optimization of Scanning Protocol for AI-Integrated Assessment of HER2 Dual Bright-Field In-Situ Hybridization Application in Breast Cancer

Optimization of Scanning Protocol for AI-Integrated Assessment of HER2 Dual Bright-Field In-Situ Hybridization Application in Breast Cancer

Accurately determining HER2 status is essential for breast cancer treatment. We developed an AI-integrated in-house application for automated Dual bright-field (BF) in situ hybridization (ISH) analysis on whole slide images (WSIs), although optimal scanning conditions remain unclear. We evaluated sc...

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Bibliographic Details
Main Authors: Nilay Bakoglu Malinowski, Takashi Ohnishi, Emine Cesmecioglu, Dara S. Ross, Tetsuya Tsukamoto, Yukako Yagi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Bioengineering
Subjects:
artificial intelligence
dual bright-field in-situ hybridization
breast carcinoma
whole slide image
scanning protocol
Online Access:https://www.mdpi.com/2306-5354/12/6/569
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