Nutrient-efficient root system architecture (RSA) is becoming an important breeding objective for generating crop varieties with improved nutrient and water acquisition efficiency.Genetic variants shaping soybean RSA is key in improving nutrient and water acquisition.Here, we report on the use of an improved 2-dimensional high-throughput root pheno
A Deep Learning Model for Assessing Ki-67 and Tumor-Infiltrating Lymphocytes Using Multiscale Attention and Pixel Channel Fusion
Nuclear protein Ki-67 and tumor-infiltrating lymphocytes (TILs) are key markers for histopathological diagnosis.They help to predict disease progression, patient prognosis, and treatment response.Recently, deep learning methods such as convolutional neural networks (CNNs) and transformers have significantly improved medical image segmentation tasks
Landslide monitoring with interferometric SAR in Liugui, a vegetated area
Interferometric SAR analysis with a time series of images obtained from satellite has been proven to be a useful monitoring scheme for geomorphological changes, particularly related to the vertical dimension.The success of click here this technique relies on the coherence between the images.This imposes severe challenges for applications in vegetat