Ivanrs297/endoscopycorruptions
The endoscopycorruptions Python package provides utilities to simulate common image corruptions that might occur during endoscopic procedures. This tool is designed to assist in the development and testing of image processing algorithms intended for endoscopic imagery by introducing realistic corruptions into clean images.
This tool helps medical imaging researchers and developers simulate common image problems that can happen during an endoscopy, like distortions or blur. You feed in clean endoscopic images, and it outputs versions of those images with various realistic corruptions applied. This allows you to test how well your image analysis algorithms perform under real-world conditions.
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Use this if you are developing or testing image processing algorithms for endoscopic procedures and need to evaluate their robustness against common image corruptions.
Not ideal if you are looking for a tool to correct corrupted endoscopic images rather than simulate new corruptions.
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Oct 14, 2024
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