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High Resolution Image Generation Using Learning Super-Resolution for Low Resolution Images
2022 4th International Conference on Computer Communication and the Internet (ICCCI), 2022Koki Nakayama, Tomio Goto
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2010
This chapter describes a procedure for evaluating imager resolution. A resolution metric is presented that predicts the effect of imager blur, noise, and sampling on the probability of correctly identifying targets. The targeting task performance (TTP) metric predicts the results of the target identification experiments described in Chapter 6.
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This chapter describes a procedure for evaluating imager resolution. A resolution metric is presented that predicts the effect of imager blur, noise, and sampling on the probability of correctly identifying targets. The targeting task performance (TTP) metric predicts the results of the target identification experiments described in Chapter 6.
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2015
Interferometric observations need snapshots of very high time resolution of the order of (i) frame integration of about 100 Hz or (ii) photon-recording rates of several megahertz (MHz). Detectors play a key role in astronomical observations, and since the explanation of the photoelectric effect by Albert Einstein, the technology has evolved ...
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Interferometric observations need snapshots of very high time resolution of the order of (i) frame integration of about 100 Hz or (ii) photon-recording rates of several megahertz (MHz). Detectors play a key role in astronomical observations, and since the explanation of the photoelectric effect by Albert Einstein, the technology has evolved ...
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
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PIAFusion: A progressive infrared and visible image fusion network based on illumination aware
Information Fusion, 2022Linfeng Tang, Jiteng Yuan, Hao Zhang
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The impact of breast cancer on sexuality, body image, and intimate relationships
Ca-A Cancer Journal for Clinicians, 1991Leslie R Schover
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nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
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