EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data.Automatic detection and segmentation of biological objects in 2D and 3D image data is central for countless biomedical research questions to be answered.  Here we introduce EmbedSeg, an embedding-based instance segmentation method designed to segment instances of desired objects visible in 2D or 3D biomedical image data.  Hence, EmbedSeg is fully open source (https://github.com/juglab/EmbedSeg), offering  (i) tutorial notebooks to train EmbedSeg models and use them to segment object instances in new data, and  We believe that this renders EmbedSeg accessible to virtually everyone who requires high-quality instance segmentations in 2D or 3D biomedical image data.
EmbedSeg
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data.Automatic detection and segmentation of biological objects in 2D and 3D image data is central for countless biomedical research questions to be answered.  Here we introduce EmbedSeg, an embedding-based instance segmentation method designed to segment instances of desired objects visible in 2D or 3D biomedical image data.  Hence, EmbedSeg is fully open source (https://github.com/juglab/EmbedSeg), offering  (i) tutorial notebooks to train EmbedSeg models and use them to segment object instances in new data, and  We believe that this renders EmbedSeg accessible to virtually everyone who requires high-quality instance segmentations in 2D or 3D biomedical image data.
EmbedSeg
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data.Automatic detection and segmentation of biological objects in 2D and 3D image data is central for countless biomedical research questions to be answered.  Here we introduce EmbedSeg, an embedding-based instance segmentation method designed to segment instances of desired objects visible in 2D or 3D biomedical image data.  Hence, EmbedSeg is fully open source (https://github.com/juglab/EmbedSeg), offering  (i) tutorial notebooks to train EmbedSeg models and use them to segment object instances in new data, and  We believe that this renders EmbedSeg accessible to virtually everyone who requires high-quality instance segmentations in 2D or 3D biomedical image data.
EmbedSeg
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data.Automatic detection and segmentation of biological objects in 2D and 3D image data is central for countless biomedical research questions to be answered.  Here we introduce EmbedSeg, an embedding-based instance segmentation method designed to segment instances of desired objects visible in 2D or 3D biomedical image data.  Hence, EmbedSeg is fully open source (https://github.com/juglab/EmbedSeg), offering  (i) tutorial notebooks to train EmbedSeg models and use them to segment object instances in new data, and  We believe that this renders EmbedSeg accessible to virtually everyone who requires high-quality instance segmentations in 2D or 3D biomedical image data.
EmbedSeg
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data.Automatic detection and segmentation of biological objects in 2D and 3D image data is central for countless biomedical research questions to be answered.  Here we introduce EmbedSeg, an embedding-based instance segmentation method designed to segment instances of desired objects visible in 2D or 3D biomedical image data.  Hence, EmbedSeg is fully open source (https://github.com/juglab/EmbedSeg), offering  (i) tutorial notebooks to train EmbedSeg models and use them to segment object instances in new data, and  We believe that this renders EmbedSeg accessible to virtually everyone who requires high-quality instance segmentations in 2D or 3D biomedical image data.
EmbedSeg