https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 EPICE an emotion fuzzy vectorial space for time modeling in medical decision https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32935 Wed 15 Aug 2018 11:20:40 AEST ]]> Clustering nuclei using machine learning techniques https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10114 Wed 11 Apr 2018 19:08:40 AEST ]]> Shape analysis and recognition based on skeleton and morphological structure https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10116 Wed 11 Apr 2018 17:07:36 AEST ]]> Detection and labelling ribs on expiration chest radiographs https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5876 Wed 11 Apr 2018 16:34:59 AEST ]]> A novel approach for enhancing the visual perception of ribs in chest radiography https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12730 Wed 11 Apr 2018 15:52:19 AEST ]]> A fast and automatic approach to extract the brain and midsagittal lines from FDG-PET head scans https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8730 Wed 11 Apr 2018 15:46:21 AEST ]]> Identification of conversion from mild cognitive impairment to Alzheimer's Disease using multivariate predictors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12729 Wed 11 Apr 2018 15:05:34 AEST ]]> Detection of nuclei clusters from cervical cancer microscopic imagery using C4.5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11599 Wed 11 Apr 2018 13:05:42 AEST ]]> Locating the optical disc in retinal images https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12760 Wed 11 Apr 2018 12:52:41 AEST ]]> Development of a computer-generated digital patient for teaching and assessment in pharmacy: final report https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13459 Wed 11 Apr 2018 12:33:52 AEST ]]> Automatic extraction of semantic concepts in medical images https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5878 Wed 11 Apr 2018 12:22:29 AEST ]]> Interactive and intelligent approach for brain extraction from high-resolution volumetric MR neuroimages https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6212 Wed 11 Apr 2018 12:02:09 AEST ]]> Automatic liver parenchyma segmentation from abdominal CT images using support vector machines https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8772 Wed 11 Apr 2018 10:37:20 AEST ]]> Automated pattern recognition and defect inspection system https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10049 Wed 11 Apr 2018 10:32:42 AEST ]]> Pattern recognition from segmented images in automated inspection systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6153 Wed 11 Apr 2018 09:59:30 AEST ]]> Automatic detection of amyloid beta plaques in somatosensory cortex of an Alzheimer's disease mouse using deep learning https://ogma.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 ]]> Development of a Framework for Problem Domain Transference in Health-Related Problem Based Learning and Assessment https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40629 Thu 11 Aug 2022 09:12:34 AEST ]]> Computer aided abnormality detection for microscopy images of cervical tissue https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11563 Sat 24 Mar 2018 10:34:19 AEDT ]]> Automated defect inspection systems by pattern recognition https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7793 Sat 24 Mar 2018 08:39:19 AEDT ]]> Affective content analysis by mid-level representation in multiple modalities https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8831 Sat 24 Mar 2018 08:38:23 AEDT ]]> Microscopic image segmentation based on color pixels classification https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8830 Sat 24 Mar 2018 08:38:23 AEDT ]]> Automated and domain knowledge-based brain extraction from CT head scans https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8186 Sat 24 Mar 2018 08:36:15 AEDT ]]> Automatic polyp detection in CT colonography https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2463 Sat 24 Mar 2018 08:27:48 AEDT ]]> Understanding video sequences through super-resolution https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11801 Sat 24 Mar 2018 08:13:10 AEDT ]]> An efficient virtual patient image model: interview training in pharmacy https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20511 Sat 24 Mar 2018 07:59:05 AEDT ]]> An effective character extraction algorithm for optical character recognition https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5938 Sat 24 Mar 2018 07:48:27 AEDT ]]> A computer-generated digital patient for oral interview training in pharmacy https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23248 Sat 24 Mar 2018 07:17:02 AEDT ]]> What do Employers expect from Business Analysts and is it captured by the "Business Analysis Body of Knowledge" (BABOK)? https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44860 Mon 24 Oct 2022 11:09:41 AEDT ]]> Diabetic retinopathy classification using C4.5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42603 Fri 26 Aug 2022 13:48:35 AEST ]]>