文献の詳細
| 論文の言語 | 英語 |
|---|---|
| 著者 | Naoki Yagihara, Yuzuko Utsumi, Daisuke Yamauchi, Yoshinobu Mineyuki, Ichirou Karahara, Masato Hoshino, Kentaro Uesugi, Yoshio Suzuki, Akihisa Takeuchi, and Masakazu Iwamura1 |
| 論文名 | Instance Segmentation of Densely Packed Plant Cells under Sparse Annotation in X-ray ?CT |
| 論文誌名 | ECCV 2026 Workshop on Computer Vision in Plant Phenotyping and Agriculture (CVPPA) |
| 発表場所 | Malmö, Sweden |
| 査読の有無 | 有 |
| 発表の種類 | ポスター発表 |
| 年月 | 2026年9月 |
| 要約 | Unstained X-ray ?CTcancapture plant tissue non-destructively at the single-cell level. However, its cell-wall contrast is low, and the cells are densely packed. These conditions make cell instance segmentation difficult. We build on the flow-based method cpsam and introduce two components: z-consensus boundary recovery (ZBR), which strengthens weak boundaries by combining information across z-slices and synthetic training data, which improves label efficiency. Together, these compo nents improve segmentation accuracy under sparse annotation. |
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- BibTeX用エントリー
@InProceedings{Yagihara2026, author = {Naoki Yagihara and Yuzuko Utsumi and Daisuke Yamauchi and Yoshinobu Mineyuki and Ichirou Karahara and Masato Hoshino and Kentaro Uesugi and Yoshio Suzuki and Akihisa Takeuchi and Masakazu Iwamura1}, title = {Instance Segmentation of Densely Packed Plant Cells under Sparse Annotation in X-ray ?CT}, booktitle = {ECCV 2026 Workshop on Computer Vision in Plant Phenotyping and Agriculture (CVPPA)}, year = 2026, month = sep, location = {Malmö, Sweden} }