7 citations · 9 across the 2 of their papers we have counts for
4 papers
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
Weihuang Xu, Guohao Yu, Yiming Cui +10
Understanding a plant's root system architecture (RSA) is crucial for a variety of plant science problem domains including sustainability and climate adaptation. Minirhizotron (MR)…
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Guohao Yu, Alina Zare, Weihuang Xu +4
We present a multiple instance learning class activation map (MIL-CAM) approach for pixel-level minirhizotron image segmentation given weak image-level labels. Minirhizotrons are u…
Overcoming Small Minirhizotron Datasets Using Transfer Learning
Weihuang Xu, Guohao Yu, Alina Zare +6
Minirhizotron technology is widely used for studying the development of roots. Such systems collect visible-wavelength color imagery of plant roots in-situ by scanning an imaging s…
Root Identification in Minirhizotron Imagery with Multiple Instance Learning
Guohao Yu, Alina Zare, Hudanyun Sheng +4
In this paper, multiple instance learning (MIL) algorithms to automatically perform root detection and segmentation in minirhizotron imagery using only image-level labels are propo…