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{ |
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"YaroslavPrytula--Revvity-25": { |
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"description": "Revvity-25 is a public microscopy cell instance segmentation dataset of high-resolution brightfield microscopy images containing manually annotated cancer cells with precise cell borders and overlaps. It is designed for benchmarking modal and amodal segmentation methods in biomedical imaging. The dataset includes 110 images (1080x1080) with a total of 2937 expert-validated instances, each annotated with an average of 60 polygon points.", |
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"citation": "@InProceedings{Prytula_2025_CVPR,\n author = {Prytula, Yaroslav and Tsiporenko, Illia and Zeynalli, Ali and Fishman, Dmytro},\n title = {IAUNet: Instance-Aware U-Net},\n booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops},\n month = {June},\n year = {2025},\n pages = {4739--4748}\n}", |
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"homepage": "https://github.com/SlavkoPrytula/IAUNet", |
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"license": "CC-BY-NC-4.0", |
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"cell" |
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