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A Labeled Ophthalmic Ultrasound Dataset with Medical Report Generation Based on Cross-modal Deep Learning
It collects three modal data, including the ultrasound images, blood flow information and examination reports from 2, 417 patients at an ophthalmology hospital in Shenyang, China, during the year 2018, in which the patient information is de-identified for privacy protection.
Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction
Image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction aims to recover detailed information from low-resolution images and reconstruct them into high-resolution images.
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