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Enabling better business decisions and driving data maturity in every sector.
Case Studies
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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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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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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