https://www.selleckchem.com/pr....oducts/blasticidin-s
BACKGROUND As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modality for oncology, the demands for automated detection systems on artificial intelligence (AI) to prevent human oversight and misdiagnosis are rapidly growing. We aimed to develop a convolutional neural network (CNN)-based system that can classify whole-body FDG PET as 1) benign, 2) malignant or 3) equivocal. METHODS This retrospective study investigated 3485 sequential patients with malignant or suspected malignant disease, who u

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