https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38472 Wed 29 Sep 2021 15:27:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47650 Wed 28 Feb 2024 15:21:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43543 Wed 28 Feb 2024 14:45:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45266 Wed 26 Oct 2022 16:31:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45216 Wed 26 Oct 2022 14:53:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43674 Wed 07 Feb 2024 17:05:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43957 Wed 05 Oct 2022 14:01:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54529 Tue 27 Feb 2024 19:44:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37846 Tue 18 May 2021 16:44:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32493 Tue 10 Sep 2019 13:01:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33650 Tue 03 Sep 2019 18:13:42 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:37578 Thu 28 Oct 2021 12:36:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45324 Thu 27 Oct 2022 08:09:10 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38310 Thu 26 Aug 2021 12:35:32 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48432 Thu 16 Mar 2023 14:17:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44446 Thu 13 Oct 2022 12:39:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38697 Thu 13 Jan 2022 14:41:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37076 Thu 13 Aug 2020 16:10:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49328 Thu 11 May 2023 15:00:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50780 Sat 05 Aug 2023 10:54:53 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52815 Mon 30 Oct 2023 08:37:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44141 Mon 29 Jan 2024 17:44:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38967 Mon 21 Mar 2022 13:17:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53255 Mon 20 Nov 2023 10:56:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48480 Mon 20 Mar 2023 09:25:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51069 Mon 13 May 2024 15:28:06 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38537 Fri 29 Oct 2021 12:07:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39515 FRA - TXOP (Flow Rate Adaptive Transmission Opportunity) and EAS (Enhanced Access Scheduler). These algorithms offer appropriate QoS and fairness to video services in a CSMA/CA network. The FRA - TXOP algorithm allocates the transmission resources according to the channel congestion levels experienced by video flows to improve and maintain consistent QoS values. At the same time, the EAS algorithm offers service fairness among the video streams by appropriately scheduling them on the downlink channel. The EAS algorithm is implemented on top of the FRA - TXOP algorithm to achieve high QoS and service fairness among video streams. An NS-3 simulation model is developed to evaluate the performance of the proposed algorithms. The performance analysis shows that the proposed algorithms enhance the video flow QoS in terms of throughput and packet delay as well as improve the fairness among the video flows compared to other TXOP algorithms.]]> Fri 10 Jun 2022 15:56:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40254 Fri 08 Jul 2022 13:42:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39083 1=.778 ). As for data preprocessing, results show that applying a consecutive combination of mirroring, removing gravity effect, and standardization was beneficial for model performance, while smoothing had adverse effects. We further investigate the effectiveness of using different combinations of sensor modalities (i.e., accelerometer and/or gyroscope) and sensor positions (i.e., dominant intake hand and/or non-dominant intake hand).]]> Fri 06 May 2022 15:21:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46844 Fri 02 Dec 2022 08:24:22 AEDT ]]>