ArticleFrontiers in plant science2024
A deep semantic network-based image segmentation of soybean rust pathogens.
Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 6 citations in OpenAlex.
- YOLO-RBSD: an efficient and accurate rice blast spore detector based on improved YOLOv8.Plant methods · 2026Article
- RAM-UNet: an improved U-Net-based semantic segmentation model for the main stem of mature soybean plants.Frontiers in plant science · 2026Article
- A lightweight detection model for gummosis on tree branches based on an improved YOLO algorithm.Scientific reports · 2025Article
- Plant leaf disease recognition based on improved SinGAN and improved ResNet34.Frontiers in artificial intelligence · 2024Article
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Authors and funding
6 authors at 2 institutions in 1 country.
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Abstract
Introduction: Asian soybean rust is a highly aggressive leaf-based disease triggered by the obligate biotrophic fungus Methods: The improved Mask R-CNN method is proposed to accomplish the segmentation of densely distributed, overlapping and intersecting microimages. First, Res2net is utilized to layer the residual connections in a single residual block to replace the backbone of the original Mask R-CNN, which is then combined with FPG to enhance the feature extraction capability of the network model. Secondly, the loss function is optimized and the CIoU loss function is adopted as the loss function for boundary box regression prediction, which accelerates the convergence speed of the model and meets the accurate classification of high-density spore images. Results: The experimental results show that the mAP for detection and segmentation, accuracy of the improved algorithm is improved by 6.4%, 12.3% and 2.2% respectively over the original Mask R-CNN algorithm. Discussion: This method is more suitable for the segmentation of fungi images and provide an effective tool for large-scale phenotypic screens of plant fungal pathogens.
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