A pixel-enhanced deep convolutional neural network for classifying immunohistochemistry images

Kai Zou; Suwan Zhu; Simeng Wang; Ziqian Wang; Fan Yang

doi:10.1117/12.2681112

8 June 2023 A pixel-enhanced deep convolutional neural network for classifying immunohistochemistry images

Kai Zou, Suwan Zhu, Simeng Wang, Ziqian Wang, Fan Yang

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127071Q (2023) https://doi.org/10.1117/12.2681112
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Understanding protein subcellular location in immunohistochemistry (IHC) images is conducive to investigating textured background at the protein tissue level and analyzing the interaction mechanism of the protein molecule. At present, the mainstream IHC image classification models are mainly designed based on classical machine learning and general deep learning, which expose the shortcomings of gradient dispersion, low information richness, and weak discrimination. In this paper, the IPA net is developed to classify IHC images based on Interactive Pointwise Attention (IPA), whose advance can be concluded in the following: firstly, patch splitting is adopted to split IHC images to dilute tissue diversity, bubbles, noise and other interference factors; secondly, the IPA unit consisting of interactive computation is proposed to modify pointwise pixels and enrich the feature richness. The experimental results demonstrated that IPA net reaches97.33%, 97.28%, and 97.24% in accuracy, precision, and recall, respectively, which out perform other baseline Convolutional Neural Networks (CNNs). Moreover, feature maps were visualized to investigate spatial distribution information, which provides a theoretical basis for analyzing protein subcellular pattern.

Citation Download Citation

Kai Zou, Suwan Zhu, Simeng Wang, Ziqian Wang, and Fan Yang "A pixel-enhanced deep convolutional neural network for classifying immunohistochemistry images", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127071Q (8 June 2023); https://doi.org/10.1117/12.2681112

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