D1rk123/longitudinal_ct_workflow

Schut, Dirk

This repository contains the Python code used in the paper (submitted for publication) "Longitudinal CT Scanning for Explainable Early Detection of Postharvest Disorders: The ‘Braeburn’ Browning Case".

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Rights	BSD 3-Clause
Organisation	Computational Imaging
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Schut, D. (2026). D1rk123/longitudinal_ct_workflow.

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View at GitHub

See Also
article Longitudinal CT scanning for explainable early detection of postharvest disorders: The ‘Braeburn’ browning case D.E. Schut (Dirk), Maree Wood (Rachael), R.E. Schouten (Rob), R. van Liere (Robert), K.J. Batenburg (Joost) and T. van Leeuwen (Tristan)

D1rk123/longitudinal_ct_workflow

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Longitudinal CT scanning for explainable early detection of postharvest disorders: The ‘Braeburn’ browning case

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D1rk123/longitudinal_ct_workflow

Publication

Publication

article Longitudinal CT scanning for explainable early detection of postharvest disorders: The ‘Braeburn’ browning case

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Workflow

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article
Longitudinal CT scanning for explainable early detection of postharvest disorders: The ‘Braeburn’ browning case