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- W3164286033 abstract "Chronic Pulmonary Aspergillosis (CPA) is a complex type of fungal infection caused by the Aspergillus fungus that mostly affects people with pre-existing lung lesions or weakened immune systems. Pleural thicknening, fungal balls and cavities visualized on CT scans are used to score the extent and gravity of CPA, in a qualitative manner. This work focuses on the use of deep-learning to improve current standards in localising and scoring CPA signs for longitudinal follow-up. We propose an original framework fully implemented in 3D, combining imaging and time series encoding, to provide activation maps, CPA severity scores and 5-years mortality prediction." @default.
- W3164286033 created "2021-06-07" @default.
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- W3164286033 date "2021-04-13" @default.
- W3164286033 modified "2023-10-16" @default.
- W3164286033 title "3d Pathological Signs Detection And Scoring On CPA CT Lung Scans" @default.
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- W3164286033 doi "https://doi.org/10.1109/isbi48211.2021.9433907" @default.
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