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A Supervised, Symmetry-Driven, GUI Toolkit for Mouse Brain Stack Registration and Plane Assignment
License: MIT License
This project forked from hms-idac/riffleshuffle
A Supervised, Symmetry-Driven, GUI Toolkit for Mouse Brain Stack Registration and Plane Assignment
License: MIT License
RiffleShuffle A Supervised, Symmetry-Driven, GUI Toolkit for Mouse Brain Stack Registration and Plane Assignment Pipeline: rsPreProcessing rsStackRegistration rsPlaneAssignment Auxiliary scripts: rsTrainContour rsTrainMask The code is designed to make use of Matlab's 'code cells', where a cell is a section of code delimited by lines starting with '%%', which can be executed using CTRL+Enter. Parameters that need to be set are indicated like so: %\\\SET parameter = x; %/// Developed by Marcelo Cicconet & Daniel R. Hochbaum ----- Some sample data is available for demo purposes at https://www.dropbox.com/s/wta56buh23nvz4c/RiffleShuffle.zip?dl=0 It contains 3 folders: Stacks Here, subfolder Dataset_B_1.55_2.45_Downsized contains the output of step 1 (rsPreProcessing), which serves as input of step 2 (rsStackRegistration). The original data is not released due to the file size being very large. Furthermore, it's very likely that the user's preprocessing will be different. SupportFiles Contains Atlas data used in rsPlaneAssignment. This was obtained form https://mouse.brain-map.org/ DataForPC Sample data for rsTrainContour and rsTrainMask. If the user wants to train machine learning models to generate contour likelihoods and slice masks for step 1 (rsPreProcessing), this data can be used in conjunction with rsTrainContour and rsTrainMask as a guideline. ----- References: M. Cicconet and D. R. Hochbaum. Interactive, Symmetry Guided Registration to the Allen Mouse Brain Atlas. BioImage Informatics 2019. Seattle, WA. M. Cicconet and D. R. Hochbaum. Riffle Shuffle: A Supervised, Symmetry-Driven, GUI Toolkit for Mouse Brain Stack Registration and Plane Assignment. bioRxiv. Sep 25 2019. https://www.biorxiv.org/content/10.1101/781880v1 ----- For questions, contact marcelo_cicconet [at] hms [dot] harvard [dot] edu
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