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Tackling Complex Root Segmentation: A Hybrid UNet with Comprehensive Benchmarking

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Developing X-ray Computed Tomography to non-invasively image 3-D root systems architecture in soil

inferredcites →https://doi.org/10.1007/s11104-018-3824-1openalex-snapshot

Root architecture governs plasticity in response to drought

inferredcites →https://doi.org/10.1016/j.compag.2021.106370openalex-snapshot

Semantic segmentation model of cotton roots in-situ image based on attention mechanism

inferredcites →https://doi.org/10.1016/j.compag.2024.109307openalex-snapshot

HyperPRI: A Dataset of Hyperspectral Images for Underground Plant Root Study

inferredcites →https://doi.org/10.1016/j.jare.2024.06.002openalex-snapshot

Multi-task aquatic toxicity prediction model based on multi-level features fusion

inferredcites →https://doi.org/10.1016/j.jare.2024.08.002openalex-snapshot

DeepB3P: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN

inferredcites →https://doi.org/10.1016/j.jgg.2024.05.001openalex-snapshot

Crop root system architecture in drought response

inferredcites →https://doi.org/10.1038/139966b0openalex-snapshot

A Device for the Observation of Root Growth in the Soil

inferredcites →https://doi.org/10.1038/s41592-021-01262-9openalex-snapshot

DeepImageJ: A user-friendly environment to run deep learning models in ImageJ

inferredcites →https://doi.org/10.1038/s43586-021-00015-4openalex-snapshot

X-ray computed tomography

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/tii.2020.3022912openalex-snapshot

Parallel Deep Learning Algorithms With Hybrid Attention Mechanism for Image Segmentation of Lung Tumors

inferredcites →https://doi.org/10.1109/tpami.2016.2644615openalex-snapshot

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

inferredcites →https://doi.org/10.1111/2041-210x.13984openalex-snapshot

imageseg: An R package for deep learning‐based image segmentation

inferredcites →https://doi.org/10.1111/nph.70102openalex-snapshot

Linking micro‐X‐ray fluorescence spectroscopy and X‐ray computed tomography with model simulation explains differences in nutrient gradients around roots of different types and ages

inferredcites →https://doi.org/10.11834/jrs.20221548openalex-snapshot

CBAM UNet+++： Attention mechanism to guide change detection studies of full-scale connected networks

inferredcites →https://doi.org/10.1186/s13007-023-01101-2openalex-snapshot

Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models

inferredcites →https://doi.org/10.2136/vzj2013.08.0158openalex-snapshot

In Situ Magnetic Resonance Imaging of Plant Roots

inferredcites →https://doi.org/10.34133/plantphenomics.0159openalex-snapshot

Improved Transformer for Time Series Senescence Root Recognition

inferredcites →https://doi.org/10.54097/ajst.v7i1.10983openalex-snapshot

A Review of Deep Learning in The Field of Plant Root Segmentation

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