首页|Geneva University Hospitals Reports Findings in Artificial Intelligence (Fully A utomated Region-Specific Human-Perceptive- Equivalent Image Quality Assessment: A pplication to 18F-FDG PET Scans)
Geneva University Hospitals Reports Findings in Artificial Intelligence (Fully A utomated Region-Specific Human-Perceptive- Equivalent Image Quality Assessment: A pplication to 18F-FDG PET Scans)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Genev a, Switzerland, by NewsRx correspondents, research stated, “We propose a fully a utomated framework to conduct a region-wise image quality assessment (IQA) on wh ole-body 18F-FDG PET scans. This framework (1) can be valuable in daily clinical image acquisition procedures to instantly recognize low-quality scans for poten tial rescanning and/or image reconstruction, and (2) can make a significant impa ct in dataset collection for the development of artificial intelligence-driven 1 8F-FDG PET analysis models by rejecting low-quality images and those presenting with artifacts, toward building clean datasets.”
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