https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10055 Wed 11 Apr 2018 10:05:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45547 Aβ ) plaques in the cerebral cortex in models of Alzheimer’s Disease (AD) is of critical importance for research into therapeutics. Here we propose an innovative framework which automatically measures Aβ plaques in the cortex of a rodent model, based on anatomical segmentation using a deep learning approach. The framework has three phases: data acquisition to enhance image quality using preprocessing techniques and image normalization with a novel plaque removal algorithm, then an anatomical segmentation phase using the trained model, and finally an analysis phase to quantitate Aβ plaques. Supervised training with 946 sets of mouse brain section annotations exhibiting Aβ protein-labeled plaques ( Aβ plaques) were trained with deep neural networks (DNNs). Five DNN architectures: FCN32, FCN16, FCN8, SegNet, and U-Net, were tested. Of these, U-Net was selected as it showed the most reliable segmentation performance. The framework demonstrated an accuracy of 83.98% and 91.21% of the Dice coefficient score for atlas segmentation with the test dataset. The proposed framework automatically segmented the somatosensory cortex and calculated the intensity and extent of Aβ plaques. This study contributes to image analysis in the field of neuroscience, allowing region-specific quantitation of image features using a deep learning approach.]]> Tue 01 Nov 2022 10:42:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26463 1). Results: Overall, 152 patients (82 left hemisphere) were included. Median diffusion lesion volume was 37.0 ml, and median baseline National Institutes of Health Stroke Score was 13. In the left hemisphere, the strongest determinants of nonfavorable outcome were infarction of the uncinate fasciculus, followed by precuneus, angular gyrus and total diffusion lesion volume. In the right hemisphere, the strongest determinants of nonfavorable outcome were infarction of the parietal lobe followed by the putamen. Conclusions: Assessment of infarct location using CART demonstrates regional characteristics associated with poor outcome. Prognostically important locations include limbic, default-mode and language areas in the left hemisphere, and visuospatial and motor regions in the right hemisphere.]]> Sat 24 Mar 2018 07:27:16 AEDT ]]>