This awesome story for medical image processing from ETH Zürich #AI researchers needs to be told!
They used #artificialintelligence to improve quality of images recorded by a relatively new biomedical imaging method.
This paves the way towards more accurate #diagnosis and cost-effective devices.
How awesome is that!
Important note on optoacoustic tomography
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They used #machinelearning method to improve optoacoustic imaging. This relatively young #medicalimaging technique can be used for applications such as visualizing blood vessels, studying brain activity, characterizing skin lesions and diagnosing breast cancer.
Paper is here: https://www.nature.com/articles/s42256-019-0095-3
Code: https://github.com/ndavoudi/sparse_artefact_unet
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#tomography #deeplearning #healthinformatics #patientoutcomes #diagnostics Neda Davoudi
They used #artificialintelligence to improve quality of images recorded by a relatively new biomedical imaging method.
This paves the way towards more accurate #diagnosis and cost-effective devices.
How awesome is that!
Important note on optoacoustic tomography
————————————————————
They used #machinelearning method to improve optoacoustic imaging. This relatively young #medicalimaging technique can be used for applications such as visualizing blood vessels, studying brain activity, characterizing skin lesions and diagnosing breast cancer.
Paper is here: https://www.nature.com/articles/s42256-019-0095-3
Code: https://github.com/ndavoudi/sparse_artefact_unet
————————————————————
#tomography #deeplearning #healthinformatics #patientoutcomes #diagnostics Neda Davoudi
Nature
Deep learning optoacoustic tomography with sparse data
Nature Machine Intelligence - Optoacoustic imaging can achieve high spatial and temporal resolution but image quality is often compromised by suboptimal data acquisition. A new method employing...