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After evaluation and tagging by the two readers, a third physician with 8 years experience in head and neck MRI and PET identified all tagged lesions on both modalities and identified those lesions that were detected on one modality but were missed on the other modality.
Under CHIL, different person tracking systems were developed based on audio, on video, or on both modalities.
Clinical acquisition and reconstruction protocols were used in this study, and the noise level in the background of the different phantom configurations was, for both the SPECT and the PET images, comparable to the noise level found in lesion-free liver of patients on both modalities.
Objective: To compare the analgesic efficacy of a traditional epidurally delivered bupivacaine/fentanyl combination with a repeat bolus intrathecal morphine technique in the management of post-thoracotomy pain and to assess further the effect of cyclooxygenase (COX) inhibition on both modalities.
Inverse estimates based on both modalities combined were also calculated.
Detection rates on both modalities were evaluated.
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During the screening period, breast cancers were detected by mammography and/or MRI, based on the sensitivity of both modalities.
Moreover, high familiar odors and faces were better remembered than low familiar ones, indicating an important role of semantic knowledge on recognition proficiency for both modalities.
This dependence on r signal for both modalities is not due to strong covariance between the two signal correlations because r signal values for visual and vestibular tuning are only weakly correlated.
A dual-regression approach was used to investigate coactivations between the hippocampal network and other brain regions for both modalities, focusing on the theta band in the case of MEG.
Although the relative difference in perceived familiarity was smaller for odors than for faces, the familiarity effect on recognition was true for both modalities (Klatzky and Forrest 1984; Rabin and Cain 1984; Murphy et al. 1991; Trinkler et al. 2009).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com