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      • SCISCIESCOPUS

        Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging

        Wu, Menglin,Cai, Xinxin,Chen, Qiang,Ji, Zexuan,Niu, Sijie,Leng, Theodore,Rubin, Daniel L.,Park, Hyunjin ELSEVIER SCIENTIFIC PUBLISHERS IRELAND LTD 2019 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE Vol.182 No.-

        <P><B>Abstract</B></P> <P><B>Background and objective</B></P> <P>Accurate assessment of geographic atrophy (GA) is critical for diagnosis and therapy of non-exudative age-related macular degeneration (AMD). Herein, we propose a novel GA segmentation framework for spectral-domain optical coherence tomography (SD-OCT) images that employs synthesized fundus autofluorescence (FAF) images.</P> <P><B>Methods</B></P> <P>An en-face OCT image is created via the restricted sub-volume projection of three-dimensional OCT data. A GA region-aware conditional generative adversarial network is employed to generate a plausible FAF image from the en-face OCT image. The network balances the consistency between the entire synthesize FAF image and the lesion. We use a fully convolutional deep network architecture to segment the GA region using the multimodal images, where the features of the en-face OCT and synthesized FAF images are fused on the front-end of the network.</P> <P><B>Results</B></P> <P>Experimental results for 56 SD-OCT scans with GA indicate that our synthesis algorithm can generate high-quality synthesized FAF images and that the proposed segmentation network achieves a dice similarity coefficient, an overlap ratio, and an absolute area difference of 87.2%, 77.9%, and 11.0%, respectively.</P> <P><B>Conclusion</B></P> <P>We report an automatic GA segmentation method utilizing synthesized FAF images.</P> <P><B>Significance</B></P> <P>Our method is effective for multimodal segmentation of the GA region and can improve AMD treatment.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Novel geographic atrophy (GA) segmentation for spectral-domain optical coherence tomography. </LI> <LI> Our approach uses synthesized fundus autofluorescence images to aid the segmentation. </LI> <LI> Our method can improve the segmentation performance of the GA. </LI> </UL> </P>

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        Influence of Mode of Delivery on Children’s Attention Deficit Hyperactivity Disorder and Childhood Intelligence

        Min Xu,Xuemei Yu,Benjie Fan,Guimei Li,Xinxin Ji 대한신경정신의학회 2023 PSYCHIATRY INVESTIGATION Vol.20 No.8

        Objective To investigate whether differences exist in attention deficit hyperactivity disorder (ADHD) and intelligence between children born by cesarean delivery and those born by vaginal delivery.Methods This retrospective study included singleton children that were born between January 2013 and December 2014. The Chinese version of the Conners’ Parent Rating Scale–Revised (CPRS-48) was required on the probability of psychological and behavioral problems. The China–Wechsler Intelligence Scale for Children (C-WIRS) was used for evaluation of crystallized intelligence and Raven’s Standard Progressive Matrices for evaluation of fluid intelligence.Results A total of 10,568 valid questionnaires were obtained. CPRS-48 ADHD index and detection rate were higher in cesarean delivery group than those in vaginal delivery group. Cesarean delivery groups had a lower performance intelligence quotient score according to C-WISC.Conclusion Children born by cesarean delivery were more likely to have a risk of ADHD and a lower performance intelligence quotient compared with those born by vaginal delivery.

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