Synthetic data for X-ray CT of healthy and disordered pear fruit using deep learning

Author:

Tempelaere AstridORCID,Van De Looverbosch Tim,Kelchtermans Klaas,Verboven PieterORCID,Tuytelaars Tinne,Nicolai Bart

Funder

KU Leuven University Hospitals Leuven

Fonds De La Recherche Scientifique - FNRS

Vlaamse regering

Fonds Wetenschappelijk Onderzoek

KU Leuven

Publisher

Elsevier BV

Subject

Horticulture,Agronomy and Crop Science,Food Science

Reference59 articles.

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2. Tomato plant disease detection using transfer learning with C-GAN synthetic images;Abbas;Comput. Electron. Agric.,2021

3. Deep learning for face image synthesis and semantic manipulations: a review and future perspectives;Abdolahnejad,2020

4. Applications of Generative Adversarial Networks (GANs): an updated review;Alqahtani;Arch. Comput. Methods Eng.,2021

5. Fruit quality and defect image classification with conditional GAN data augmentation;Bird;Sci. Hortic.,2022

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