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Latest From Zegami

Blog Post

Automated image and data clustering

We are excited to introduce our new feature – Automated image and data clustering! Besides offering a fascinating representation of the data, it provides some immediate practical benefits such as efficient labelling and rapid outlier detection.

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Demo Collection

DICOM Mammograms

This mammogram dataset consists of 3486 DICOM (Digital Imaging and Communications in Medicine) images. It contains normal, benign, and malignant cases with verified pathology information.

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Whitepapers

Case Study: Solving global food shortages using Automated Image Analysis

Research at the Australian Plant Phenomics Facility is leading to the development of new and improved crops, healthier food and

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