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This article analyzes the sensitivity of deep learning methods for ocular fundus segmentation. We use an empirical methodology based on non‐adversarial perturbed datasets. The research is motivated by mass screening and self‐administered tests in which AI methods are needed and may be given images with focus issues. These substandard pictures are simulated using blurring algorithms of varying designs...
In this paper we introduce a model which describes the process of choosing individual metrics which are used to establish if a medical image compression is acceptable for a specific PACS or not. Image compression is an integral part of a PACS. There is no universal way for measuring acceptance of still image compression for a specific PACS. Many individual metrics have been proposed for measuring...
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