SeaConvNeXt: A Lightweight Two-Branch Network Architecture for Efficient Prediction of Specific IHC Proteins and Antigens on Hematoxylin and Eosin (H&E) Images

SeaConvNeXt: A Lightweight Two-Branch Network Architecture for Efficient Prediction of Specific IHC Proteins and Antigens on Hematoxylin and Eosin (H&E) Images

Immunohistochemistry (IHC) is a vital technique for detecting specific proteins and antigens in tissue sections using antibodies, aiding in the analysis of tumor growth and metastasis. However, IHC is costly and time-consuming, making it challenging to implement on a large scale. To address this iss...

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Bibliographic Details
Main Authors: Yuli Chen, Guoping Chen, Guoying Shi, Yao Zhou, Jiayang Bai, Germán Corredor, Cheng Lu, Xiujuan Lei
Format: Article
Language:English
Published: Tsinghua University Press 2024-12-01
Series:Big Data Mining and Analytics
Subjects:
immunohistochemistry (ihc)
bi-stage registration based on density clustering (birec)
automatic label generation
seaconvnext
attention mechanism
multi-level local and global features
virtual ihc staning prediction
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2024.9020057
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