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Here we present a simple level set implementation for the segmentation of plant tissues at both organ- and cell-scale. We present the principles of the level set method as well as its parameters in “Methods” section. Then we demonstrate how this framework can be used to improve segmentation...
PlantSegis a tool for cell instance aware segmentation in densely packed 3D volumetric images. The pipeline uses a two stages segmentation strategy (Neural Network + Segmentation). The pipeline is tuned for plant cell tissue acquired with confocal and light sheet microscopy. Pre-trained models are ...
Images and imagination: the role of figures in plant cell and molecular biology publicationsmetabolomic profilingmulberrypathogenesisphloem sapphytoplasmaNo Abstract available for this article.doi:10.1007/s00299-014-1579-6StewartC. NealSpringer Berlin HeidelbergPlant Cell Reports...
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A principal challenge in the analysis of tissue imaging data is cell segmentation—the task of identifying the precise boundary of every cell in an image. To address this problem we constructed TissueNet, a dataset for training segmentation models that contains more than 1 million manually labele...
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Farmland boundary information plays a key role in agricultural remote sensing, and it is of importance to modern agriculture. We collected the relevant research in this field at home and abroad in this review, and we systematically assessed the farmland boundary extraction process, detection algorithms...
DIS Images is a fully functioning stock image library. Dedicated to manipulating the codes and trends in stock photography, DIS Images invites artists to create alternative scenarios and new stereotypes, thus broadening the spectrum of lifestyle portraya