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Abstract An image defines a probability distribution for where the next photon will land. This probability distribution can be estimated by counting the number of photons detected in each ‘pixel’’ of the image. On account of fluctuations in the density of air and defects in the camera, this probability distribution differs from the one ...
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1985
Abstract : This report contains results obtained from observations using the University of Arizona 2.3 meter telescope, the Kitt Peak National Observatory 4 meter telescope and the multiple mirror telescope. Work Done included: High Resolution Imaging Potential of MMT; Earth Satellite Observations; Asteroid/Planetary Satellite Measurements; and Image ...
E. K. Hege, P. A. Strittmatter
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Abstract : This report contains results obtained from observations using the University of Arizona 2.3 meter telescope, the Kitt Peak National Observatory 4 meter telescope and the multiple mirror telescope. Work Done included: High Resolution Imaging Potential of MMT; Earth Satellite Observations; Asteroid/Planetary Satellite Measurements; and Image ...
E. K. Hege, P. A. Strittmatter
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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
exaly
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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Image Reconstruction from Projections
Scientific American, 1975R, Gordon, G T, Herman, S A, Johnson
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