Classification of breast cancer pathological images combining fine-grained region location

Shi-hao Ma; Bei Yang; Gui-lan Tian; Xiao-yu Li

doi:10.1117/12.2680490

27 June 2023 Classification of breast cancer pathological images combining fine-grained region location

Shi-hao Ma, Bei Yang, Gui-lan Tian, Xiao-yu Li

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127051F (2023) https://doi.org/10.1117/12.2680490
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Classification algorithm based on deep learning is the main technology for computer-aided intelligent diagnosis of breast pathological images. The existing deep learning algorithms rarely pay attention to multi-scale information in breast cancer pathological images, and can not extract key regions from pathological images for auxiliary diagnosis. To address this issue, this paper proposes a novel method for classifying breast cancer pathological images which incorporates a fine-grained region location mechanism. This method is realized by a dual-branch architecture with global network and local network. Global and local features are extracted from the whole image and local key image, respectively. The final classification results can be obtained by integrating both the global and local network analysis. In order to locate the most predictive area in the whole image, this paper designs utilizes a fine-grained region localization mechanism and combines the above two branch networks. Extensive experiments on the BreakHis data set are conducted to verify the effectiveness of the proposed algorithm. The empirical results show that this method improves the classification accuracy by comparing the performance with that of several typical convolutional neural network and state-of-the-art algorithms.

Citation Download Citation

Shi-hao Ma, Bei Yang, Gui-lan Tian, and Xiao-yu Li "Classification of breast cancer pathological images combining fine-grained region location", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127051F (27 June 2023); https://doi.org/10.1117/12.2680490

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KEYWORDS

Image classification

Pathology

Performance modeling

Breast cancer

Feature extraction

Data modeling

Breast

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