Reverse Dependencies of csbdeep

The following projects have a declared dependency on csbdeep:

• BCM3D — BCM3D 2.0: Accurate segmentation of single bacterialcells in dense biofilms using computationallygenerated intermediate image representations
• cenfind — Score cells for centrioles in IF data
• competitionassay — Software for the analysis of competition assay data.
• cryoCARE — cryoCARE is a deep learning approach for cryo-TEM tomogram denoising.
• denoiseg — DenoiSeg
• embryoseg — SmartSeed Segmentation for animal embryonic cells.
• mnfinder — A package for segmenting micronuclei in microscopy images
• myoquant — MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images.
• n2v — Noise2Void allows the training of a denoising CNN from individual noisy images. This implementationextends CSBDeep.
• pyhim — Pipeline and functions to analyse multiplexed DNA-FISH data
• pyxelperfect — Collection of python powered image-processing functions
• spateo-release — Spateo: multidimensional spatiotemporal modeling of single-cell spatial transcriptomics
• splinedist — splinedist
• spotiflow — Accurate and efficient spot detection for microscopy data
• spotipy-detector — Accurate and efficient spot detection with CNNs
• stardist — StarDist - Object Detection with Star-convex Shapes
• stardist-sparse — StarDist - Object Detection with Star-convex Shapes
• towbintools — All the tools used by the Towbin Lab !