Nissl_5, Raw images for Machine learning for histological annotation and quantification of cortical layers

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Loop closure detection helps simultaneous localization and mapping systems reduce map and state uncertainty via recognizing previously visited places along the path of a mobile robot. However, visual loop closure detection is susceptible to scenes with dyn ...

Curvilinear structures frequently appear in microscopy imaging as the object of interest. Crystallographic defects, i.e dislocations, are one of the curvilinear structures that have been repeatedly investigated under transmission electron microscopy (TEM) ...

Nissl_5, Raw images for Machine learning for histological annotation and quantification of cortical layers

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PlaceNet: A multi-scale semantic-aware model for visual loop closure detection

3D reconstruction of curvilinear structures with stereo matching deep convolutional neural networks