Evidence map›Paper›PMID 42741128›Full record

ArticleFrontiers in plant science2026

Three-dimensional organ segmentation and structural phenotyping of salt-stressed coriander seedlings using the optimized point transformer-based model PTV-SegCo.

Shihan Wang, Yujuan Xu, Erpeng Cheng, Jun'ao Cheng, Siying Liu, Yuanyu Xia, Ziyi Zhang, Xiuqing Fu

Abstract read
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Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shihan Wang *College of Engineering, Nanjing Agricultural University, Nanjing, China.
Yujuan Xu *College of Engineering, Nanjing Agricultural University, Nanjing, China.
Erpeng ChengCollege of Engineering, Nanjing Agricultural University, Nanjing, China.
Jun'ao ChengCollege of Engineering, Nanjing Agricultural University, Nanjing, China.
Siying LiuCollege of Engineering, Nanjing Agricultural University, Nanjing, China.
Yuanyu XiaCollege of Engineering, Nanjing Agricultural University, Nanjing, China.
Ziyi ZhangCollege of Engineering, Nanjing Agricultural University, Nanjing, China.
Xiuqing FuCollege of Engineering, Nanjing Agricultural University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salt stress can markedly alter seedling architecture, creating a need for non-destructive three-dimensional (3D) phenotyping methods capable of resolving fine plant structures. However, organ-level segmentation of plant point clouds remains challenging because of leaf overlap, slender stems, ambiguous stem-leaf boundaries, and severe class imbalance. In this study, we developed PTV-SegCo, a task-adapted Point Transformer model for organ segmentation and structural phenotyping of coriander seedlings under salt stress. PTV-SegCo integrates efficient channel attention, gated shallow-deep feature fusion, and a combined cross-entropy-Dice loss to improve representation of fine and minority organ structures. The dataset comprised 60 manually annotated 3D point-cloud samples from 12 cultivation trays repeatedly observed over five acquisition dates under six NaCl concentrations (0, 50, 100, 150, 200, and 250 mmol L

Indexed as

coriander seedlingssalt stresssemantic segmentationstructural phenotypingthree-dimensional point cloud

Identifiers

PMID42741128
PMCPMC13572714

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.