FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2938282728> ?p ?o ?g. }

• W2938282728 abstract "Abstract Recently, there has been a rapid expansion in the field of micro-connectomics, which targets the three-dimensional (3D) reconstruction of neuronal networks from a stack of two-dimensional (2D) electron microscopic (EM) images. The spatial scale of the 3D reconstruction grows rapidly owing to deep neural networks (DNNs) that enable automated image segmentation. Several research teams have developed their own software pipelines for DNN-based segmentation. However, the complexity of such pipelines makes their use difficult even for computer experts and impossible for non-experts. In this study, we developed a new software program, called UNI-EM, that enables 2D- and 3D-DNN-based segmentation for non-computer experts. UNI-EM is a software collection for DNN-based EM image segmentation, including ground truth generation, training, inference, postprocessing, proofreading, and visualization. UNI-EM comes with a set of 2D DNNs, i.e., U-Net, ResNet, HighwayNet, and DenseNet. We further wrapped flood-filling networks (FFNs) as a representative 3D DNN-based neuron segmentation algorithm. The 2D- and 3D-DNNs are known to show state-of-the-art level segmentation performance. We then provided two-example workflows: mitochondria segmentation using a 2D DNN as well as neuron segmentation using FFNs. Following these example workflows, users can benefit from DNN-based segmentation without any knowledge of Python programming or DNN frameworks." @default.
• W2938282728 created "2019-04-25" @default.
• W2938282728 creator A5011472740 @default.
• W2938282728 creator A5013739023 @default.
• W2938282728 creator A5015446428 @default.
• W2938282728 creator A5017832747 @default.
• W2938282728 creator A5072540019 @default.
• W2938282728 date "2019-04-12" @default.
• W2938282728 modified "2023-10-13" @default.
• W2938282728 title "UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images" @default.
• W2938282728 cites W1513082520 @default.
• W2938282728 cites W1756731880 @default.
• W2938282728 cites W1898703532 @default.
• W2938282728 cites W1901129140 @default.
• W2938282728 cites W1976032673 @default.
• W2938282728 cites W2012469563 @default.
• W2938282728 cites W2016323639 @default.
• W2938282728 cites W2031654716 @default.
• W2938282728 cites W2039276913 @default.
• W2938282728 cites W2055572268 @default.
• W2938282728 cites W2069702026 @default.
• W2938282728 cites W2116542500 @default.
• W2938282728 cites W2125468377 @default.
• W2938282728 cites W2131415852 @default.
• W2938282728 cites W2142784661 @default.
• W2938282728 cites W2147762902 @default.
• W2938282728 cites W2160041854 @default.
• W2938282728 cites W2163314583 @default.
• W2938282728 cites W2224354397 @default.
• W2938282728 cites W2232480453 @default.
• W2938282728 cites W2302255633 @default.
• W2938282728 cites W2309258625 @default.
• W2938282728 cites W2584383026 @default.
• W2938282728 cites W2604468722 @default.
• W2938282728 cites W2612078078 @default.
• W2938282728 cites W2625278673 @default.
• W2938282728 cites W2750404878 @default.
• W2938282728 cites W2760861884 @default.
• W2938282728 cites W2775688034 @default.
• W2938282728 cites W2803596769 @default.
• W2938282728 cites W2803684675 @default.
• W2938282728 cites W2894822713 @default.
• W2938282728 cites W2899476650 @default.
• W2938282728 cites W2900936384 @default.
• W2938282728 cites W2901860341 @default.
• W2938282728 cites W2912642089 @default.
• W2938282728 cites W2913989356 @default.
• W2938282728 cites W2949808130 @default.
• W2938282728 cites W4211110504 @default.
• W2938282728 doi "https://doi.org/10.1101/607366" @default.
• W2938282728 hasPublicationYear "2019" @default.
• W2938282728 type Work @default.
• W2938282728 sameAs 2938282728 @default.
• W2938282728 citedByCount "2" @default.
• W2938282728 countsByYear W29382827282020 @default.
• W2938282728 countsByYear W29382827282021 @default.
• W2938282728 crossrefType "posted-content" @default.
• W2938282728 hasAuthorship W2938282728A5011472740 @default.
• W2938282728 hasAuthorship W2938282728A5013739023 @default.
• W2938282728 hasAuthorship W2938282728A5015446428 @default.
• W2938282728 hasAuthorship W2938282728A5017832747 @default.
• W2938282728 hasAuthorship W2938282728A5072540019 @default.
• W2938282728 hasBestOaLocation W29382827281 @default.
• W2938282728 hasConcept C111919701 @default.
• W2938282728 hasConcept C124504099 @default.
• W2938282728 hasConcept C153180895 @default.
• W2938282728 hasConcept C154945302 @default.
• W2938282728 hasConcept C169760540 @default.
• W2938282728 hasConcept C177212765 @default.
• W2938282728 hasConcept C199360897 @default.
• W2938282728 hasConcept C2776214188 @default.
• W2938282728 hasConcept C2777904410 @default.
• W2938282728 hasConcept C2779097318 @default.
• W2938282728 hasConcept C2984842247 @default.
• W2938282728 hasConcept C3018011982 @default.
• W2938282728 hasConcept C31972630 @default.
• W2938282728 hasConcept C36464697 @default.
• W2938282728 hasConcept C41008148 @default.
• W2938282728 hasConcept C45715564 @default.
• W2938282728 hasConcept C50644808 @default.
• W2938282728 hasConcept C519991488 @default.
• W2938282728 hasConcept C77088390 @default.
• W2938282728 hasConcept C86803240 @default.
• W2938282728 hasConcept C89600930 @default.
• W2938282728 hasConceptScore W2938282728C111919701 @default.
• W2938282728 hasConceptScore W2938282728C124504099 @default.
• W2938282728 hasConceptScore W2938282728C153180895 @default.
• W2938282728 hasConceptScore W2938282728C154945302 @default.
• W2938282728 hasConceptScore W2938282728C169760540 @default.
• W2938282728 hasConceptScore W2938282728C177212765 @default.
• W2938282728 hasConceptScore W2938282728C199360897 @default.
• W2938282728 hasConceptScore W2938282728C2776214188 @default.
• W2938282728 hasConceptScore W2938282728C2777904410 @default.
• W2938282728 hasConceptScore W2938282728C2779097318 @default.
• W2938282728 hasConceptScore W2938282728C2984842247 @default.
• W2938282728 hasConceptScore W2938282728C3018011982 @default.
• W2938282728 hasConceptScore W2938282728C31972630 @default.
• W2938282728 hasConceptScore W2938282728C36464697 @default.
• W2938282728 hasConceptScore W2938282728C41008148 @default.
• W2938282728 hasConceptScore W2938282728C45715564 @default.

• next