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Deep Learning–Based Positive Region Segmentation and Spatial Registration of Virtual Multiplex Immunohistochemical Whole-Slide Images
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DOI：10.1016/j.labinv.2026.106139.png)
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Abstract
En 中文
This study aims to facilitate virtual multiplexing by establishing a deep learning-based analytical framework for precise identification and spatial reconstruction of positive regions in multiple immunohistochemistry (IHC) images.
Keywords:
Deep Learning
Positive Region Segmentation
Spatial Registration
Virtual Multiplexing
Immunohistochemistry
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