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Latest From Zegami

Blog Post

Predicting the defect probability of solar cells with the help of Zegami Machine Learning Suite

Solar panels are becoming an increasingly important energy source and represent a great opportunity of sustainable energy for the next

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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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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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