tpecot/NucleiSegmentationAndMarkerIDentification

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Created over 4 years ago
Updated over 2 years ago

tpecot/NucleiSegmentationAndMarkerIDentification

tpecot

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3 different deep learning approaches to segment nuclei and identify associated markers

WholeSlideImageAnalysisWithQuPath

DeepLearningBasedSegmentationForBiologists

3-day workshop to teach biologists how to train and process deep convolutional neural networks for image segmentation through a comprehensive image analysis pipeline for immune profiling of 2D multiplexed images

Jupyter Notebook

DeepLearningForBiologists_FromClassificationToSegmentation

BioImageInformaticsWithFiji

7 sessions workshop about bioimage analysis

Annotater

ImageJ plugin for annotating/correcting nuclei segmentation and identifying nuclei associated with markers

MuViSS

Muscle, Visceral and Subcutaneous Segmentation from CT scans

EstimationOfProteinConcentrationOverTime

Octave code to estimate the protein concentration evolution over time from 2D still images

QuantEvForTrackMate

QuantEv analysis module for TrackMate

3DVisualizationAndProcessingWithNapari