jiayangshi/LoDoInd
Code for paper "LoDoInd: Introducing A Benchmark Low-dose Industrial CT Dataset and Enhancing Denoising with 2.5D Deep Learning Techniques."
This project helps industrial quality control and inspection professionals quickly identify defects in manufactured parts using Computed Tomography (CT). It takes noisy, low-dose industrial CT scans and processes them to produce clearer, high-quality images. The primary users are quality assurance engineers or technicians in manufacturing who need rapid, reliable defect detection.
No commits in the last 6 months.
Use this if you are performing non-destructive testing on industrial parts with CT scans and need to reduce scanning time by using low-dose CT, but require clear images despite the increased noise.
Not ideal if your application is in medical imaging or if you are not working with experimental, real-world industrial CT data.
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Language
Python
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Last pushed
Mar 06, 2024
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