CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images.
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Updated
Apr 15, 2026 - JavaScript
CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images.
Analyse gigapixel images, annotated with millions of geometries, using a modern, highly-performant web interface.
Computer Vision application to diagnose diverse Cytology samples using medical imaging Data from a virtual microscope. Showcased in IH Hackshows and during the European Congress of Cytology & published it on Cytopathology Journal.
White Blood Cells detection (1st place)
This study consists of a comparative analysis of various image segmentation methods on cytological images
This is an improved version of basic CBIR for cytological images based on image segmentation
Code repository for paper: "A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging"
Features extraction from nasal cell images
This is a website for visualizing the processes in the field of cytology.
Extracting & Comparing 3D Nuclear Structures from Stacked Imaging Data
End-to-end AI workflow for cervical cytology using MobileViT and Cellpose. Features automated cell segmentation, classification on SIPaKMeD, and PDF clinical reporting via FastAPI.
(WIP) PyTorch/TensorFlow powered semantic segmentation software for cytological slides
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