five

optiGAN training Datasets

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/optigan-training-datasets
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Dataset used in an IOP publication, in the journal Physics in Medicine & Biology.Schematic of the training dataset. Accurate optical simulations were carried out at various emission positions to generate the dataset for training the conditional generative adversarial network optiGAN. (left) A total of 30 emission points located within 1\/8 of the crystal volume were used to build the training dataset. Images are not to scale. (b) Optical photon distributions (position X and Y, energy EKine, and Time) were recorded for all training points (30k entries per point) in a multidimensional matrix that included the emission positions as a condition (Dataset1, shown in green). A second dataset was also generated (Dataset2), which included only the Time distribution and the 3D class label. 
提供机构:
Carlotta Trigila; Emilie Roncali
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