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- W4289260363 abstract "Now the mortality of cancer is high, which seriously threatens the safety of human life. It is very difficult to accurately segment small objects such as cancer lesions or cells. In order to improve the accuracy of small object segmentation, this paper proposes to use RPN module to frame and select small objects, then use FSRCNN to enlarge the low resolution picture, and finally use a simple U-shaped segmentation model to segment small objects. The model has been evaluated on the cell data set and achieved good results." @default.
- W4289260363 created "2022-08-01" @default.
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- W4289260363 date "2022-08-01" @default.
- W4289260363 modified "2023-09-27" @default.
- W4289260363 title "Small object segmentation in medical image" @default.
- W4289260363 doi "https://doi.org/10.1117/12.2640187" @default.
- W4289260363 hasPublicationYear "2022" @default.
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