stardist

There are 0 repository under stardist topic.

• okunator / cellseg_models.pytorch

  Encoder-Decoder Cell and Nuclei segmentation models

  accelerateaicell-segmentationcellposedigital-pathologyhovernetmicroscopymlnuclei-segmentationomniposepanoptic-segmentationpytorchpytorch-lightningstardisttissue-segmentationtimm
  Language:Python 69

• Cytomine-ULiege / S_CellDetect_Stardist_HE_ROI

  Cell (Nuclei) Detection in ROI using Stardist

  deep-learningstardist
  Language:Python 8

• Lewislou / cellseg-sribd

  The code implementation for cell segmentation

  cell-segmentationpytorchstardisthovernet
  Language:Python 7
• qupath-extension-openvino

  dkurt / qupath-extension-openvino

  Intel OpenVINO extension for QuPath, a digital pathology platform

  openvinoqupathjavainteldeep-learningdigital-pathologystardist
  Language:Java 5

• Koldim2001 / Segmentation_cells-nuclei

  Instance & Semantic сегментация клеток и ядер на цитологических изображениях (мазок Папаниколау)

  instance-segmentationsemantic-segmentationstardistwatershed-segmentation
  Language:Jupyter Notebook 3

• ajinkya-kulkarni / PySpatialHistologyAnalysis

  Package using StarDist and Python that performs object detection and spatial analysis on H&E images

  histopathologyhistopathology-image-analysisstardistimage-processingsegmentationspatial-analysisdigital-histologypython
  Language:Python 2

• ajinkya-kulkarni / PyOrganoIDNet

  This repository provides StarDist and CellPose models, meticulously trained on a large dataset of Pancreatic Ductal Adenocarcinoma organoids co-cultured with immune cells. Pre-print available at https://www.biorxiv.org/content/10.1101/2024.02.12.580032v1. Demo application website available at https://segmentorganoids.streamlit.app/

  cellposedeep-learningorganoid-segmentationorganoidsstardist
  Language:Jupyter Notebook 1

• Noza23 / myovision

  Quantification of Myogenic Differentiation using Deep Learning

  computer-visioninstance-segmentationmicroscopy-imagesmusculoskeletalmyotubesmyovisionsegment-anythingstardistmyogenesis
  Language:Jupyter Notebook 1

• Scaramir / orgaSeg

  Pipeline meant to segment and classify organoids, or any other blob-like structures (star-convex polygons). Microscopy images can be easily annotated in QuPath and automatically processed afterwards to count the class distribution within each image using this pipeline (TIF files will be converted to grayscale)

  classificationdeep-learningsegmentationworkflowgrid-searchorganoid-segmentationresnetstardist
  Language:Python 1

• aditya-10012002 / Nuclei-Segmentation-Using-Stardist

  NUCLEI SEGMENTATION USING STARDIST AND PYTHON IN GOOGLE COLAB

  computer-visioncondafujimachine-learningnuclei-segmentationpython3stardist
  Language:Jupyter Notebook 0

• davetornado / myovision-report

  Myovision Consulting Report

  computer-visioninstance-segmentationmicroscopy-imagesmusculoskeletalmyotubesmyovisionsegment-anythingstardist
  Language:TeX 0

• ybajaj-29 / StarDist_cmd

  Command-line based, automatic image analysis pipeline to evaluate the bactericidal efficacy of polymer surface coatings against E. coli.

  automationdeep-learningimage-processingimagej2stardist
  0

• KanNudimmud / cell_segmentation

  Cell segmentations using Stardist and Watershed method.

  cell-nucleipythonsegmentationstardistwatershed
  Language:Jupyter Notebook

• sebi06 / create_labels_stardist

  script to create labels (for training a deep neural network) based on nucleus segmentation using StarDist (still experimental)

  image-processingmicroscopypythonstardist
  Language:Python

• whyclos / nuclei-segmentation-neural-nw

  nuclei segmentation by treshold, watershed methods & stardist neural network (educational project)

  instance-segmentationneural-networkssemantic-segmentationstardistqupath