Contrast Optimization Aided by Machine Learning Applied to Virtual 4D-STEM Images [PDF]
Stroppa Daniel, dos Reis Roberto
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A conventional global contrast enhancement is difficult to apply in various images because image quality and contrast enhancement are dependent on image characteristics largely.And a local contrast enhancement not only causes a washed-out effect,but also
Ralph Oyini Mbouna, Young-joon HAN
doaj
Fabry-Pérot Microscopy for Improved Contrast Enhancement and Quantitative Phase Imaging. [PDF]
Pittrich J +11 more
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Contrast Enhancement Is Associated with a Higher DSC MRI-Derived Cerebral Metabolic Rate of Oxygen Index in Untreated Glioblastoma. [PDF]
Reis J +5 more
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Retraction: Initial insights into post-contrast enhancement in ultra-low-field MRI: Case Report. [PDF]
Frontiers Editorial Office.
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Contrast enhancement for brain MRI images via genetic algorithm-based dual cut histogram equalization. [PDF]
Bukhori I, Sim KS, Gan KB, Aziz NAA.
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A novel approach for contrast enhancement in medical images based on quantum-inspired enhancement algorithm. [PDF]
Zhu H +5 more
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Deep Learning-Based Augmented Contrast-Enhancement and Denoising for Reduced-Iodine and Low-Radiation 70-kVp Cerebral CT Angiography: A Prospective Study. [PDF]
Song S +6 more
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Preliminary Evaluation of the Effect of Body Weight on Contrast Enhancement in Coronary CT Angiography: A Fixed Iodine-Dose Protocol. [PDF]
Alraddadi F +10 more
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An improved neighbourhood-based contrast limited adaptive histogram equalization method for contrast enhancement on retinal images. [PDF]
Arulraj A, Mariadhason JS, Ronjalis RR.
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