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@ajinkya-kulkarni
ajinkya-kulkarni
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Ajinkya Kulkarni ajinkya-kulkarni

Image data scientist | High performance computing | Machine learning | Computer vision | Spatial Biology

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  1. PyTextureAnalysisPyTextureAnalysisPublic

    PyTextureAnalysis is a Python package for analyzing the texture of images. It includes functions for calculating local orientation, degree of coherence, and structure tensor of an image. This packa…

    Python 30 7

  2. PyOrganoIDNetPyOrganoIDNetPublic

    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 ht…

    Jupyter Notebook 2

  3. PyHistologyPyHistologyPublic

    Python package that uses colorspace-based segmentation to analyze histopathology images.

    Python 13 3

  4. PySpatialHistologyAnalysisPySpatialHistologyAnalysisPublic

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

    Python 4

  5. PyElispotAnalysisPyElispotAnalysisPublic

    Detecting spots (IFN-Gamma positive cells) from an Elispot assay image using Deep learning

    Python 2

  6. PyBlendPatchesPyBlendPatchesPublic

    Efficiently handles large images by segmenting them into patches, performing instance/semantic segmentation, and then reconstructing the patches into a complete, segmented mask.

    Jupyter Notebook 3


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