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Found 4 papers, 2 papers with code
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
By introducing this dataset, we aim to facilitate the automatic segmentation of roots and the research of RSA with deep learning and other image analysis algorithms.
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
The proposed approach outperforms other attention map and multiple instance learning methods for localization of root objects in minirhizotron imagery.
Overcoming Small Minirhizotron Datasets Using Transfer Learning
A key component of automated analysis of plant roots from imagery is the automated pixel-level segmentation of roots from their surrounding soil.
Root Identification in Minirhizotron Imagery with Multiple Instance Learning
In this paper, multiple instance learning (MIL) algorithms to automatically perform root detection and segmentation in minirhizotron imagery using only image-level labels are proposed.
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