Subtype classification of malignant lymphoma using immunohistochemical staining pattern

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Malignant lymphomas have over 70 subtypes, requiring pathologists to identify the subtype for appropriate patient treatment.
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The study proposes a method to evaluate the typicality of H&E-stained tissue slides to improve the generalization ability of subtype classifiers.
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Instance selection based on typicality enhances the performance of classification models by removing atypical training data.
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A multiple-instance-learning-based CNN was developed to classify three malignant lymphoma subtypes effectively.
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The research reveals relationships between lymphoma subtypes and IHC stain sets, highlighting variability within and across subtypes.

International Journal Of Computer Assisted Radiology And Surgery

by Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani
February 11, 2022

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