Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma
Sign Up to like & getrecommendations! Published in 2019 at "Clinical Cancer Research"
DOI: 10.1158/1078-0432.ccr-18-3065
Abstract: Purpose: We aimed to evaluate the value of deep learning on positron emission tomography with computed tomography (PET/CT)–based radiomics for individual induction chemotherapy (IC) in advanced nasopharyngeal carcinoma (NPC). Experimental Design: We constructed radiomics signatures… read more here.
Keywords: value deep; risk; pet based; pet ... See more keywords
The Value of Deep Learning Image Reconstruction in Improving the Quality of Low-Dose Chest CT Images
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DOI: 10.3390/diagnostics12102560
Abstract: This study aimed to evaluate the value of the deep learning image reconstruction (DLIR) algorithm (GE Healthcare’s TrueFidelity™) in improving the image quality of low-dose computed tomography (LDCT) of the chest. First, we retrospectively extracted… read more here.
Keywords: quality; value deep; reconstruction; deep learning ... See more keywords