A #lungnodule detector developed by @UCSF_Ci2 & @UCSFImaging investigators achieved a precision of 0.962 at a recall of 0.573 on the National #LungCancer Screening Trial (NLST) test set for any nodule. Great work! https://t.co/XiGTVHyKea
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RT @UCSF_Ci2: This high precision #noduledetector can reduce time spent on reidentification of prior nodules during #lungcancer screening &…
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This high precision #noduledetector can reduce time spent on reidentification of prior nodules during #lungcancer screening & rapidly develop new institutional datasets to explore novel applications of computer vision in lung cancer #imaging. https://t
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Read how Dr. Jae Sohn (@sohn522) & team develop & evaluate an automated nodule detector that utilizes the axial-slice number of nodules found in #radiology reports to generate high precision nodule predictions. https://t.co/XiGTVHyKea