Researchers have introduced PhotIQA, a new dataset containing 1134 photoacoustic images rated by five experts on five quality properties. This dataset aims to address the lack of quality-rated medical images, which hinders the development and testing of image quality assessment algorithms, particularly for photoacoustic imaging. The publicly available dataset is intended to support the creation of more accurate IQA measures for medical imaging applications beyond photoacoustic imaging. AI
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IMPACT Provides a new benchmark dataset for evaluating AI-based image quality assessment algorithms in medical imaging.
RANK_REASON The cluster describes a new academic dataset release for image quality assessment in medical imaging.