isi-mube/Digital-Cytology-ML

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.

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Experimental

This project offers a computer vision application that helps cytopathologists and cytotechnologists quickly diagnose various cytology samples, such as salivary gland, gynecological, thyroid, and effusion specimens. By inputting single-layer digital images from a virtual microscope, the system provides a predicted diagnosis, potentially reducing the need for costly and time-consuming multi-layer scanning.

No commits in the last 6 months.

Use this if you are a cytopathologist or cytotechnologist looking to streamline the diagnosis of cytology samples using digital images, especially if you want to avoid time-consuming multi-layer slide scanning.

Not ideal if you primarily work with histology samples or require full-slide z-stack scanning for your diagnostic workflow.

cytopathology medical-imaging cellular-diagnosis cancer-screening digital-pathology
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 13 / 25

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Last pushed

Oct 30, 2024

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