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WBCAtt+ is a dataset that contains the attribute and segmentation masks for 10k images of white blood cells.
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References: Satoshi Tsutsui, Winnie Pang, Shuting He, and Bihan Wen, “WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images,” under review (minor revision) at Medical Image Analysis.
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Current Files:
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- [wbcattplus.zip](./wbcattplus.zip): The data descriptions and the supplementary code to load and visualize the data as well.
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- [pbcseg_final_v1.tar](./pbcseg_final_v1.tar): The dataset itself.
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---
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license: mit
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license: mit
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tags:
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- medical
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- biology
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- segmentation
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- white-blood-cells
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---
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# WBCAtt+ Dataset
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WBCAtt+ is a dataset that contains the attribute and segmentation masks for 10k images of white blood cells.
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**References:** Satoshi Tsutsui, Winnie Pang, Shuting He, and Bihan Wen, “WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images,” under review (minor revision) at Medical Image Analysis.
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*More details will be updated after the final acceptance.*
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### Current Files:
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- [wbcattplus.zip](./wbcattplus.zip): The data descriptions and the supplementary code to load and visualize the data as well.
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- [pbcseg_final_v1.tar](./pbcseg_final_v1.tar): The dataset itself.
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