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Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation
2024 IEEE International Symposium on Biomedical Imaging (ISBI), Pages: 1 - 5
Swansea University Authors:
Yiming Li, Hans Ren, Xianghua Xie
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Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1109/isbi56570.2024.10635872
Abstract
Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation
Published in: | 2024 IEEE International Symposium on Biomedical Imaging (ISBI) |
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ISBN: | 979-8-3503-1334-5 979-8-3503-1333-8 |
ISSN: | 1945-7928 1945-8452 |
Published: |
IEEE
2024
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Online Access: |
Check full text
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URI: | https://cronfa.swan.ac.uk/Record/cronfa66747 |
Keywords: |
Image segmentation, Shape, Biological system modeling, Manuals, Benchmark testing, Robustness, Task analysis |
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College: |
Faculty of Science and Engineering |
Funders: |
Xiaoke Ma is funded by the Key Research and Development Program of Shaanxi (Program No. 2021ZDLGY02-02). |
Start Page: |
1 |
End Page: |
5 |