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20192023
most citedParallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning

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eess.IV2023

2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning

Maximilian B. Kiss, Sophia B. Coban, K. Joost Batenburg +2

Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consi…

eess.IV2019

A Cone-Beam X-Ray CT Data Collection designed for Machine Learning

Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten +3

Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high…