ROI-BMC-DNNet: An efficient automatic analysis model of whole-slide scanned bone marrow aspirate images for the diagnosis of hematological disorders

Biomedical Signal Processing and Control(2023)

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摘要
•We report an automatic analytical framework for the WSIs of bone marrow aspirate smears.•We provide a pyramid segmentation network to automatically locate ROI based on prior pathological knowledge.•We design a sampling algorithm of patches and an evaluating network for patch quality and embed it in the framework.•We evaluate the size of the patch images and improve the cell detection model.
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关键词
Digital diagnosis, Convolutional Neural Network (CNN), Cell detection, Whole -slide image, Bone marrow aspirate smears
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